Powerpoint

Create a PowerPoint presentation for the Sun Coast Remediation research project to communicate the findings and suggest recommendations. Please use the following format:

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· Slide 1: Include a title slide.

· Slide 2: Organize the agenda.

· Slide 3: Introduce the project.

. Statement of the Problems

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. Research Objectives

· Slide 4: Describe information gathered from the literature review.

· Slide 5: Include research methodology, design, and methods.

. Research Methodology

. Research Design

. Research Methods

. Data collection

· Slide 6: Include research questions and hypotheses

· Slides 7 and 8: Explain your data analysis.

· Slides 9 and 10: Explain your findings.

· Slide 11: Explain recommendations including an explanation of how research-based decision-making can directly affect organizational practices.

· Slide 12 and 13: Reflect on your experience throughout the course. Provide some of the things you learned and some of the course’s takeaways that you can apply to your current or future job.

· Slide 14: Include references for your sources.

Your PowerPoint must be a minimum of fourteen slides in length (including the title slide and a reference slide).

You are required to narrate your presentation. Utilize the note section to write out your transcript per slide. Ensure the presentation you create is your own authentic work. Ensure that you follow APA guidelines and cite any resources you use.

Text book Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Thousand Oaks, CA: Sage.

Running head: INSERT TITLE HERE 1

INSERT TITLE HERE 17

Insert Title Here

Insert Your Name Here

Insert University Here

Sun Coast Remediation Course Project

Guidance

Background

To help make a connection between business research and its use in the real world, this course will use an iterative course project. Throughout the term, you will serve as the health and safety director for Sun Coast Remediation (Sun Coast).

Sun Coast provides remediation services to business and governmental organizations. Most of their contracts involve working within contamination sites where they remove toxic substances from soil and water. In addition to the toxicity of the air, water, and soil their employees come into contact with, the work environment is physically demanding and potentially contributory to injuries involving musculoskeletal systems, vision, and hearing. Sun Coast genuinely cares about the health, safety, and well-being of their 5,500 employees, but they are also concerned about worker compensation costs and potential long-term litigation from injuries and illness related to employment.

Health and Safety Director Task

Sun Coast hired you last month to replace the previous health and safety director, who left to pursue other opportunities. This is a critical position within the company because there are many health and safety-related issues due to the nature of the work. The former health and safety director was in the midst of analyzing these issues through the implementation of a research project when she left the organization.

Throughout the term, you will use your knowledge of research methods to bring the research project to fruition. You will conduct a literature review, develop research questions and hypotheses, create the research design, test data, interpret data, and present the findings. Each unit will accomplish one of these tasks. It has already been decided that the business problems will be best addressed using a quantitative research methodology. You will not collect any data for this project. The former health and safety director had already collected the data, which is provided for you in an Excel spreadsheet.

Statistical Tools

You will conduct the data analysis using Microsoft Excel Toolpak. View these links for information:

https://support.office.com/en-us/article/load-the-analysis-toolpak-in-excel-6a63e598-cd6d-42e3-9317-6b40ba1a66b4

and

https://www.excel-easy.com/data-analysis/analysis-toolpak.html

Sun Coast Remediation Course Project Sections

Since this is a quantitative research study, there are specific steps that should be followed. The following is a template that will help you develop your project. (It is also provided as a template in Unit VII.) Use this information to guide your completion of the course project.

Table of Contents

Include the table of contents here. There is a tool for creating a table of contents in the

References

tab of the Microsoft Word tool bar at the top of the screen. Remember to delete this text and the instructions from the previous page before you begin.

Executive Summary

The executive summary will go here. The paragraphs are not indented, and it should be formatted like an abstract. The executive summary should be composed after the project is complete. It will be the final step in the project. Delete this text before you begin.

Sun Coast Remediation Course Project

Introduction

Note: The following introduction should remain in the research project unchanged. Delete this note before you begin.

Senior leadership at Sun Coast has identified several areas for concern that they believe could be solved using business research methods. The previous director was tasked with conducting research to help provide information to make decisions about these issues. Although data were collected, the project was never completed. Senior leadership is interested in seeing the project through to fruition. The following is the completion of that project and includes the statement of the problems, literature review, research objectives, research questions and hypotheses, research methodology, design, and methods, data analysis, findings, and recommendations.

Statement of the Problems

Note: The following statement of the problems should remain in the research project unchanged. Delete this note before you begin.

Six business problems were identified:

Particulate Matter (PM)

There is a concern that job-site particle pollution is adversely impacting employee health. Although respirators are required in certain environments, PM varies in size depending on the project and job site. PM that is between 10 and 2.5 microns can float in the air for minutes to hours (e.g., asbestos, mold spores, pollen, cement dust, fly ash), while PM that is less than 2.5 microns can float in the air for hours to weeks (e.g. bacteria, viruses, oil smoke, smog, soot). Due to the smaller size of PM that is less than 2.5 microns, it is potentially more harmful than PM that is between 10 and 2.5 since the conditions are more suitable for inhalation. PM that is less than 2.5 is also able to be inhaled into the deeper regions of the lungs, potentially causing more deleterious health effects. It would be helpful to understand if there is a relationship between PM size and employee health. PM air quality data have been collected from 103 job sites, which is recorded in microns. Data are also available for average annual sick days per employee per job-site.

Safety Training Effectiveness

Health and safety training is conducted for each new contract that is awarded to Sun Coast. Data for training expenditures and lost-time hours were collected from 223 contracts. It would be valuable to know if training has been successful in reducing lost-time hours and, if so, how to predict lost-time hours from training expenditures.

Sound-Level Exposure

Sun Coast’s contracts generally involve work in noisy environments due to a variety of heavy equipment being used for both remediation and the clients’ ongoing operations on the job sites. Standard ear-plugs are adequate to protect employee hearing if the decibel levels are less than 120 decibels (dB). For environments with noise levels exceeding 120 dB, more advanced and expensive hearing protection is required, such as earmuffs. Historical data have been collected from 1,503 contracts for several variables that are believed to contribute to excessive dB levels. It would be important if these data could be used to predict the dB levels of work environments before placing employees on-site for future contracts. This would help the safety department plan for procurement of appropriate ear protection for employees.

New Employee Training

All new Sun Coast employees participate in general health and safety training. The training program was revamped and implemented six months ago. Upon completion of the training programs, the employees are tested on their knowledge. Test data are available for two groups: Group A employees who participated in the prior training program and Group B employees who participated in the revised training program. It is necessary to know if the revised training program is more effective than the prior training program.

Lead Exposure

Employees working on job sites to remediate lead must be monitored. Lead levels in blood are measured as micrograms of lead per deciliter of blood (μg/dL). A baseline blood test is taken pre-exposure and postexposure at the conclusion of the remediation. Data are available for 49 employees who recently concluded a 2-year lead remediation project. It is necessary to determine if blood lead levels have increased.

Return on Investment

Sun Coast offers four lines of service to their customers, including air monitoring, soil remediation, water reclamation, and health and safety training. Sun Coast would like to know if each line of service offers the same return on investment. Return on investment data are available for air monitoring, soil remediation, water reclamation, and health and safety training projects. If return on investment is not the same for all lines of service, it would be helpful to know where differences exist.

Literature Review

After providing a brief introduction to this section, students should include the literature review information here. Important Note: Students should refer to the information presented in the Unit I Study Guide and the Unit I Syllabus instructions to complete this section of the project. Delete this before you begin.

Research Objectives

After providing a brief introduction to this section, students should include research objectives here. Students should compose short, direct statements about the objectives of the study. Research objectives should relate to the problems that have been identified above, and there should be one objective for each problem as shown in the example below. Important Note: Students should refer to the information presented in the Unit II Syllabus instructions to complete this section of the project. Delete this before you begin.

Example:

RO1: Determine if a person’s height is related to weight.

RO2:

RO3:

RO4:

RO5:

RO6:

Research Questions and Hypotheses

After providing a brief introduction to this section, students should state the research questions and hypotheses. Each research objective should have a corresponding research question and a null and alternative hypothesis as shown in the example below. In total, there should be six research questions and twelve hypotheses. Important Note: Students should refer to the information presented in the Unit II Study Guide and the Unit II Syllabus instructions to complete this section of the project. Delete this before you begin.

Example:

RQ1: Is there a relationship between height and weight?

H01: There is no statistically significant relationship between height and weight.

HA1: There is a statistically significant relationship between height and weight.

RQ2:

H02:

HA2:

RQ3:

H03:

HA3:

RQ4:

H04:

HA4:

RQ5:

H05:

HA5:

RQ6:

H06:

HA6:

Research Methodology, Design, and Methods

After providing a brief introduction to this section, students should detail the research design they have selected and why it is an appropriate research approach for addressing the business problems. Use the following subheadings to include all required information. Important Note: Students should refer to the information presented in the Unit III Study Guide and the Unit III Syllabus instructions to complete this section of the project. Delete this before you begin.

Research Methodology

Explain the research methodology chosen for this research project and provide rationale for why it is appropriate given the problems.

Research Design

Students should explain whether the research design is exploratory, causal, or descriptive. Provide rationale for the choice.

Research Methods

Students should describe the research methods used for this research study based on the research methodology, research design, and research questions, and provide a rationale as to why they were chosen. They might include a combination of experimentation, descriptive statistics, correlation, and causal-comparative methods.

Data Collection Methods

Students should specify how the data were most likely collected to test the hypotheses. Data collection methods include, but are not limited to, survey, observation, and records analysis.

Sampling Design

Students should briefly describe the type of sampling design that was most likely used for the data that were collected. Choices include, but are not limited to, random sample, convenience sample, etc. Explain your rationale for your sampling design selection(s).

Data Analysis Procedures

Students should specify the statistical procedures used to test each set of hypotheses from among correlation, regression, t test, and ANOVA. They should explain why each procedure was the most appropriate choice.

Example:

Correlation is the preferred procedure to use to test the RQ1 hypotheses since the interest is whether a relationship exists between an independent variable (IV) and dependent variable (DV). Correlation will indicate if there is a relationship between height (IV) and weight (DV), the strength of the relationship, and the direction of the relationship.

Data Analysis: Descriptive Statistics and Assumption Testing

After providing a brief introduction to this section, students should provide the Excel Toolpak results of their descriptive analyses. Frequency tables, histograms, and descriptive statistics tables should be cut and pasted from Excel directly into the final project document. Important Note: Students should refer to the information presented in the Unit IV Study Guide and the Unit IV Syllabus instructions to complete this section of the project. Delete this before you begin.

Correlation: Descriptive Statistics and Assumption Testing

Students should include this information here. Include frequency table, histogram, and descriptive statistics table. Evaluate and discuss the descriptive statistics and make an explicit statement about whether the assumptions for parametric statistical testing were met or not met. Delete these statements before you begin.

Simple Regression: Descriptive Statistics and Assumption Testing

Students should include this information here. Include frequency table, histogram, and descriptive statistics table. Evaluate and discuss the descriptive statistics, and make an explicit statement about whether the assumptions for parametric statistical testing were met or not met. Delete these statements before you begin.

Multiple Regression: Descriptive Statistics and Assumption Testing

Students should include this information here. Include frequency table, histogram, and descriptive statistics table. Evaluate and discuss the descriptive statistics and make an explicit statement about whether the assumptions for parametric statistical testing were met or not met. Delete these statements before you begin.

Independent Samples t Test: Descriptive Statistics and Assumption Testing

Students should include this information here. Include frequency table, histogram, and descriptive statistics table. Evaluate and discuss the descriptive statistics, and make an explicit statement about whether the assumptions for parametric statistical testing were met or not met. Delete these statements before you begin.

Dependent Samples (Paired-Samples) t Test: Descriptive Statistics and Assumption Testing

Students should include this information here. Include frequency table, histogram, and descriptive statistics table. Evaluate and discuss the descriptive statistics, and make an explicit statement about whether the assumptions for parametric statistical testing were met or not met. Delete these statements before you begin.

ANOVA: Descriptive Statistics and Assumption Testing

Students should include this information here. Include frequency table, histogram, and descriptive statistics table. Evaluate and discuss the descriptive statistics, and make an explicit statement about whether the assumptions for parametric statistical testing were met or not met. Delete these statements before you begin

Data Analysis: Hypothesis Testing

After providing a brief introduction to this section, students should provide the Excel Toolpak results of their hypothesis testing. The statistical output tables should be cut and pasted from Excel directly into the final project document. For the regression hypotheses, the students should display and discuss the predictive regression equations. Important Note: Students should refer to the information presented in the Units V and VI Study Guides and the Units V and VI Syllabus instructions to complete this section of the project. Delete this before you begin.

Correlation: Hypothesis Testing

Students should include this information here. Restate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p-value in relation to alpha and explicitly accept or reject the null and alternative hypotheses. Delete these statements before you begin.

Simple Regression: Hypothesis Testing

Students should include this information here. Restate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, and interpret and explain the simple regression analysis results below the Excel output. Your explanation should include: multiple R, R square, alpha level, ANOVA F value, accept or reject the null and alternative hypotheses for the model, statistical significance of the x variable coefficient, and the regression model as an equation with explanation. Delete these statements before you begin.

Multiple Regression: Hypothesis Testing

Students should include this information here. Restate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, and interpret and explain the simple regression analysis results below the Excel output. Your explanation should include: multiple R, R square, alpha level, ANOVA F value, accept or reject the null and alternative hypotheses for the model, statistical significance of the x variable coefficients, and the regression model as an equation with explanation.

Independent Samples t Test: Hypothesis Testing

Students should include this information here. Restate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p-value in relation to alpha and explicitly accept or reject the null and alternative hypotheses. Delete these statements before you begin.

Dependent Samples (Paired Samples) t Test: Hypothesis Testing

Students should include this information here. Restate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p-value in relation to alpha and explicitly accept or reject the null and alternative hypotheses. Delete these statements before you begin.

ANOVA: Hypothesis Testing

Students should include this information here. Restate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p-value in relation to alpha and explicitly accept or reject the null and alternative hypotheses. Delete these statements before you begin.

Findings

After providing a brief introduction to this section, students should discuss the findings in the context of Sun Coast’s problems and the associated research objectives and research questions. Important Note: Students should refer to the information presented in the Unit VII Study Guide and the Unit VII Syllabus instructions to complete this section of the project. Restate each research objective, and discuss them in the context of your hypothesis testing results. The following are some things to consider. What answers did the analysis provide to your research questions? What do those answers tell you? What are the implications of those answers? Delete these statements before you begin.

Example:

RO1: Determine if a person’s height is related to weight.

The results of the statistical testing showed that a person’s height is related to their weight. It is a relatively strong and positive relationship between height and weight. We would, therefore, expect to see in our population taller people having a greater weight relative to those of shorter people. This determination suggests restrictions on industrial equipment should be stated in maximum pounds allowed rather than maximum number of people allowed.

RO2:
RO3:
RO4:
RO5:
RO6:

Recommendations

After providing a brief introduction to this section, students should include recommendations here in paragraph form. This section should be your professional thoughts based upon the results of the hypothesis testing. You are the researcher, and Sun Coast’s leadership team is relying on you to make evidence-based recommendations. Delete these statements before you begin.

References

Include references here using hanging indentations, and delete these statements and example reference.

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Thousand Oaks, CA: Sage.

2

>Correlation Data

2

.

5

4 8 5
5 4

6 7 7
7 2 11
8

9 5 7

4 10

11

8

4

7 7

5 8

3

7 7

9.5 5

9.5 7

5 10

6 6

8 5

6

8.5 5

9 4

3 7

6 7

7.5 7

7.5 5

7

2 9

7.5 6

9 4

6 6

3 8

8 5

1 8

8.5 5

8

8

8.5 4

2 8

4.5 9

6 7

7 7

5 10

12

5 9

4 7

8 5

5 7

9

8 6

5 5

10

7.5 9

2.5 7

7

8 6

5 6

7 6

4 9

8 5

1 8

2 8

4 10

4 9

7 7

10

5 7

6 6

8 6

6 7

6.5 6

8

8.5 6

2 8

8 5

10 4

10 5

8 8

1 8

7 6

10 2

7 8

7 6

6.5 7

7.5 6

8.5 6

3 8

0.5 9

1 8

9 6

7 7

2 9

8.5 7

3.5 9

3 8

7 6

5.5 7

7.5 7

12

4 8

5 9

job site microns mean annual sick days per employee
1 4 11
6 5 7
3 8
1

0
5.5 9
10
4.5
12 8.5
13
14
15 9.5
16
17
18
19
20
21
22 7.5
23
24
25
26
27
28
29 2.7
30
31
32
33
34
35
36
37
38 0.7
39 0.5
40
41
42
43
44
45
46 2.5
47
48
49
50
51 3.5
52
53
54 4.9
55
56
57 6.5
58
59
60
61
62
63
64
65
66
67
68 5.2
69
70
71
72
73
74 1.5
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101 0.2
102
103

Simple Regression Data

10

0.00

30

40

3

4.10

40

40

50

60

1

9.66

60

7.52

60

0.00

60

60

70

6

70

7

70

70

7.55

70

.00

70

2.69

80

1

1

.00 80

9

1500.00 80

90

9

1.25

90

90

90

2

100

5

2.88

100

.58

100

.44

100

.92

100

100

8.19

100

100

1.17

110

1.75

110

110

0.34

110

36

7

30

120

76

120

120

120

6

120

630

120

.00

120

120

1

3

120

62

118

5

130

2 912.35 130
42

130

92 917.02 130
160

130

922.02 130

178

130

160

8

56

140

140

3

140

140

140

221

140

62

140

64

140

143

140

910.85 140

150

150

4

150

150

162

150

145 785.69 150

150

135

0

150

.62

150

182

150

35

160

163

160

105

160

163

170

170

73

8

170

55

170

180

55

180

180

5

180

180

150

180

140

180

96 669.81 180
157

180

51

180

5

185

185

116

185

196

185

65

5

185

185

113

185

85

185

185

185

54

185

183

190

100

190

92

190

157

8

190

40

190

217

190

137

190

91

190

96

190

203

190

205

190

188

190

29

190

190

34

190

56

190

49

190

145

200

11

200

75

200

155

200

132

200

200

65

200

38

264.00 210

9 264.00 210
146

210

210

108

210

221

210

210

25 288.00 210
72

210

.00

210

129

210

195

210

141

75

.57

220

33

220

220

205

220

120

220

110

230

19

230

230.00 230

221

230

23

230

230

19 234.00 230
84 234.00 230
167 234.00 230
96 234.00 230
200

230

230

18

230

107

230

152

230

120 244.00 230
143

24

240

170

7

240

240

159

240

240

218.00 240

105 205.00 245

250

190

250

250

110

250

250

250

33

250

156

250

250

133 205.00 250
131

54

260

24

260

48

270

91 128.00 270
4

280

45.69 280

134 50.00 280
24

280

6 56.89 280
135 68.95 280
132

280

101 102.57 280
34

280

27

280

86

280

184

35

140

290

290

131

290

42 100.00 290
95

290

17

290

68 102.57 290
197 56.90 300
59 56.90 300
2

300

119

300

19

28 45.69 320
65

18 35.99 330
95

201 26.60 340
40

340

199

contract # safety training expenditure lost time hours
1

116 1985.12
205 150
2

146 1126.46
160 129
914 1445.56
437 1112.47
598 1720.81
280 178
1420 183
682 200
714 2271.86
2336 1507.97
221 1542.33
132 1544.90
1025 1547.16
920 156
465 1600
138 145
141 500
143
2388 13

26.60
184 135
1740 1380.69
1666 1423.57
167 1095.58
245 113
403 1

134
856 1

163
2050 1

170
1271 1177.05
2429 118
812 1323.29
405 105 110
1

630 1054.03
2376 107
861 1077.86
2436 108
92

3.3 120
957.17
964.11
1

155 976.64
1273 982.06
188 985.69
985.97
407 1000
488 1002.27
197 103

5.4
910.85 130
9

12.3
917.02
922.02
149
9

50.00
80

4.2 140
826.86
152 832.87
836.33
196 842.96
157 856.99
883.88
888.57
893.36
900.89
139
217 759.86
182 767.13
162 77

7.2
159 784.22
785.69
203 792.35
79

9.9
158 800
801.58
746.02
756.98
759.52
700.93
131 709.40
7

15.6
724.94
181 612.23 180
124 613.70
624.54
136 635.19
642.79
179 644.15
656.14
669.81
678.60
689.55
153 526.48 185
137 53

7.3
195 561.96
564.16
566.50
5

6

8.9
194 574.51
579.32
583.63
190 601.43
148 607.26
611.48
393.77
405.91
406.81
42

6.7
429.50
450.56
4

56.90
471.81
474.76
500.92
503.17
507.64
507.77
189 509.43
513.69
514.07
526.14
336.51
344.39
3

45.69
365.99
377.93
168 385.05
391.75
264.00 210
186
265.40
123 268.60
275.70
283.16
201 288.00
295.84
213 300
305.27
313.36
244.00 220
250
255.12
119 2

56.89
263.27
263.60
223.64 230
208 226.65
230.00
211
231.52
233.29
133 234.00
234.57
171 236.60
236.91
237.70
243.24
218.00 235
205.00 240
104 206.97
21

5.3
115 215.69
215.99
125 217.99
128
209 169.58
174.09
199 179.06
179.78
151 192.61
219 196.65
201.36
202.71
161 204.57
1

35.99 260
145.59
152.61
125.63 270
212 128.00
45.30
187
51.23
102.57
102.64
103.57
125.18
731.36 285
70.92 290
75.90
173 97.97
100.00
10

0.03
102.56
68.09
68.59
42.57 320
30.43 330
25.69 340
26.90
20.46 360

Multiple Regression Data

contract #

1420 800 0

682 1000 0

71.3 0.00266337

714

0

3

71.3 0.00266337

2336 1600 0

7

71.3 0.00266337

0

71.3 0.00266337

0

1

71.3 0.00266337

1025

0

0

66

71.3 0.00266337 125.201

920

0

0

3

71.3 0.00266337

465

0

8

71.3 0.00266337

138

0

7

8

71.3 0.00266337

1

0

58

71.3 0.00266337

0

71.3 0.00266337

2388

0

71.3 0.00266337

0

6

71.3 0.00266337

1740 500 0

6

1666 630 0

55.5 0.00283081

800 0

9

55.5 0.00283081

1000 0

8

5

55.5 0.00283081

403 1250 0

4

55.5 0.00283081

856 1600 0

27

55.5 0.00283081

2050 2000 0 0.0705 55.5 0.00283081

1271 2500 0

8

55.5 0.00283081

2429

0

55.5 0.00283081

812

0

2

55.5 0.00283081

405 5000 0

55.5 0.00283081

6300 0

55.5 0.00283081

2376 8000 0

57

55.5 0.00283081

861 10000 0

55.5 0.00283081

2436 12500 0

8

55.5 0.00283081

36 200 0

30 250 0

39.6 0.00310138

76 315 0

39.6 0.00310138

400 0

2

39.6 0.00310138

09

1273 500 0

39.6 0.00310138

1886 630 0

09

39.6 0.00310138

630 800 0

3

39.6 0.00310138

407 1000 0

39.6 0.00310138

488 1250 0

39.6 0.00310138

1600 0

39.6 0.00310138

62 2000 0

2

39.6 0.00310138

118 2500 0

8

39.6 0.00310138

2 3150 0

39.6 0.00310138

42 4000 0

39.6 0.00310138

92 5000 0

39.6 0.00310138

160 6300 0

39.6 0.00310138

9

149 8000 0

39.6 0.00310138

178 10000 0

39.6 0.00310138

160 12500 0

39.6 0.00310138

56 200 0

152 250 0

31.7 0.00331266

3 315 0

4

31.7 0.00331266

196 400 0

31.7 0.00331266

157 500 0

31.7 0.00331266

221 630 0

4

31.7 0.00331266

62 800 0

31.7 0.00331266

64 1000 0

31.7 0.00331266

143 1250 0

31.7 0.00331266

139 1600 0

31.7 0.00331266

217 2000 0

31.7 0.00331266

182 2500 0

31.7 0.00331266

162 3150 0

31.7 0.00331266

159 4000 0 0.14 31.7 0.00331266

162 5000 0

31.7 0.00331266

145 6300 0

6

31.7 0.00331266

203 8000 0

31.7 0.00331266

135 10000 0

31.7 0.00331266

158 800 1.5

71.3

182 1000 1.5

71.3 0.00336729

35 1250 1.5

71.3 0.00336729

163 1600 1.5

71.3 0.00336729

105 2000 1.5

9

71.3 0.00336729

163 2500 1.5

71.3 0.00336729

131 3150 1.5

71.3 0.00336729

73 4000 1.5

6

71.3 0.00336729

55 5000 1.5

71.3 0.00336729

181 6300 1.5

4

71.3 0.00336729

124 8000 1.5

71.3 0.00336729

55 10000 1.5

71.3 0.00336729

136 12500 1.5

1

71.3 0.00336729

5 16000 1.5

71.3 0.00336729

179 315 1.5

4

39.6

150 400 1.5

4

39.6 0.00392107

140 500 1.5

4

39.6 0.00392107

96 630 1.5 0.119 39.6 0.00392107

157 800 1.5

2

39.6 0.00392107

51 1000 1.5

7

39.6 0.00392107

153 1250 1.5

39.6 0.00392107

137 1600 1.5

8

39.6 0.00392107

11

195 2000 1.5

9

39.6 0.00392107

116 2500 1.5

39.6 0.00392107

196 3150 1.5

2

39.6 0.00392107

65 4000 1.5

8

39.6 0.00392107

194 5000 1.5

3

39.6 0.00392107

113 6300 1.5

39.6 0.00392107

1

85 8000 1.5

39.6 0.00392107

190 10000 1.5

9

39.6 0.00392107

148 12500 1.5

39.6 0.00392107

54 400 3 0.1365 71.3

183 500 3

8 71.3 0.00425727

54

100 630 3

71.3 0.00425727

92 800 3

1

71.3 0.00425727

157 1000 3

9

71.3 0.00425727

40 1250 3

71.3 0.00425727

217 1600 3 0.1069 71.3 0.00425727

14

137 2000 3

71.3 0.00425727

91 2500 3

1

71.3 0.00425727

96 3150 3

71.3 0.00425727

203 4000 3 0.1809 71.3 0.00425727

205 5000 3

71.3 0.00425727

188 6300 3

2

71.3 0.00425727

29 8000 3

71.3 0.00425727

189 10000 3

71.3 0.00425727

34 400 3

55.5

56 500 3

55.5 0.00452492

49 630 3

55.5 0.00452492

69

145 800 3

3

55.5 0.00452492

11 1000 3

55.5 0.00452492

75 1250 3

55.5 0.00452492

155 1600 3

8

55.5 0.00452492

132 2000 3

4

55.5 0.00452492

168 2500 3

55.5 0.00452492

65 3150 3

55.5 0.00452492

38 4000 3 0.1365 55.5 0.00452492

186 5000 3

9

55.5 0.00452492

9 6300 3

55.5 0.00452492

146 8000 3

55.5 0.00452492

123 10000 3

55.5 0.00452492

9

108 315 3

39.6

221 400 3

39.6 0.00495741

201 500 3

39.6 0.00495741

25 630 3

9

39.6 0.00495741

72 800 3

39.6 0.00495741

213 1000 3

39.6 0.00495741

129 1250 3

39.6 0.00495741

195 1600 3

39.6 0.00495741

141 2000 3

39.6 0.00495741

75 2500 3

39.6 0.00495741

33 3150 3

8

39.6 0.00495741

119 4000 3

39.6 0.00495741

205 5000 3

39.6 0.00495741

120 6300 3

39.6 0.00495741

110 8000 3

39.6 0.00495741

208 315 3

31.7

19 400 3

31.7 0.00529514

8

211 500 3

31.7 0.00529514

221 630 3

8

31.7 0.00529514

23 800 3

31.7 0.00529514

133 1000 3

31.7 0.00529514

19 1250 3 0.05 31.7 0.00529514

84 1600 3

31.7 0.00529514

167 2000 3

31.7 0.00529514

96 2500 3

31.7 0.00529514

200 3150 3

3

31.7 0.00529514

171 4000 3

31.7 0.00529514

18 5000 3

31.7 0.00529514

107 6300 3

8

31.7 0.00529514

152 250 4 0.093 71.3

120 315 4

7

71.3 0.00497773

143 400 4

71.3 0.00497773

24 500 4

1

71.3 0.00497773

104 630 4

71.3 0.00497773

170 800 4

71.3 0.00497773

115 1000 4

71.3 0.00497773

5

159 1250 4

71.3 0.00497773

125 1600 4

2

71.3 0.00497773

128 2000 4

71.3 0.00497773

105 2500 4 0.0372 71.3 0.00497773

209 3150 4

71.3 0.00497773

190 4000 4

1

71.3 0.00497773

199 5000 4

1

71.3 0.00497773

110 6300 4

9

71.3 0.00497773

151 8000 4

71.3 0.00497773

219 10000 4

71.3 0.00497773

33 12500 4

71.3 0.00497773

156 250 4

39.6

161 315 4

39.6 0.00579636

133 400 4 0.154 39.6 0.00579636

131 500 4

3

39.6 0.00579636

54 630 4

39.6 0.00579636

24 800 4

39.6 0.00579636

48 1000 4

39.6 0.00579636

212 1250 4

39.6 0.00579636

91 1600 4

39.6 0.00579636

4 2000 4

39.6 0.00579636

187 2500 4

39.6 0.00579636

134 3150 4

4

39.6 0.00579636

24 4000 4

39.6 0.00579636

6 5000 4

39.6 0.00579636

135 1250 0

71.3

132 1600 0

71.3 0.00214345

101 2000 0

71.3 0.00214345

44

34 2500 0 0.0788 71.3 0.00214345

27 3150 0

71.3 0.00214345

86 4000 0

8

71.3 0.00214345

184 5000 0

71.3 0.00214345

35 6300 0

71.3 0.00214345

140 8000 0

71.3 0.00214345

173 10000 0

71.3 0.00214345 118.134

131 12500 0

71.3 0.00214345

42 16000 0

71.3 0.00214345

84

95

0

71.3 0.00214345

17 315 0

55.5

119.54

68 400 0

55.5 0.00229336

197 500 0 0.069 55.5 0.00229336

59 630 0

9

55.5 0.00229336

2 800 0

55.5 0.00229336

119 1000 0 0.194 55.5 0.00229336

19 1250 0

55.5 0.00229336

28 1600 0

55.5 0.00229336

65 2000 0

9

55.5 0.00229336

18 2500 0

55.5 0.00229336 126.54

95 3150 0 0.0907 55.5 0.00229336

201 4000 0

55.5 0.00229336

40 5000 0

55.5 0.00229336

199 6300 0

55.5 0.00229336

315 0

1

39.6

205 400 0

39.6 0.00253511

500 0

39.6 0.00253511

630 0

39.6 0.00253511

914 800 0

39.6 0.00253511

437 1000 0 0.0533 39.6 0.00253511

3

5

598 1250 0

39.6 0.00253511 129.395

1600 0

39.6 0.00253511

1420 2000 0

39.6 0.00253511

682 2500 0 0.0525 39.6 0.00253511

714 3150 0

39.6 0.00253511

2336 4000 0

39.6 0.00253511

5

2216 5000 0

39.6 0.00253511

5

1327 6300 0

39.6 0.00253511

65

1025 315 0

31.7

920 400 0

31.7 0.0027238

465 500 0

31.7 0.0027238

138 630 0

31.7 0.0027238

1411 800 0

31.7 0.0027238

1439 1000 0 0.193 31.7 0.0027238

2388 1250 0

31.7 0.0027238

1849 1600 0 0.0376 31.7 0.0027238

1740 2000 0

31.7 0.0027238

1666 2500 0

31.7 0.0027238

1672 3150 0

31.7 0.0027238 123.445

2455 4000 0

31.7 0.0027238

403 5000 0

31.7 0.0027238

856 6300 0 0.0364 31.7 0.0027238

2050 400 2

71.3

1271 500 2

71.3 0.00293031

2429 630 2

71.3 0.00293031

812 800 2 0.038 71.3 0.00293031

405 1000 2

71.3 0.00293031

1630 1250 2

71.3 0.00293031

2376 1600 2

5

71.3 0.00293031

96

861 2000 2

71.3 0.00293031

2436 2500 2

5

71.3 0.00293031

36 3150 2

71.3 0.00293031

30 4000 2

71.3 0.00293031

76 5000 2

71.3 0.00293031

1155 6300 2

6

71.3 0.00293031

1273 8000 2

71.3 0.00293031

1886 10000 2

71.3 0.00293031

6

630 400 2

55.5

407 500 2

55.5 0.00313525

488 630 2

55.5 0.00313525

1971 800 2

55.5 0.00313525

62 1000 2

55.5 0.00313525

118 1250 2

55.5 0.00313525

2 1600 2

8

55.5 0.00313525

42 2000 2

55.5 0.00313525

92 2500 2

55.5 0.00313525

160 3150 2

55.5 0.00313525

2

149 4000 2

55.5 0.00313525

178 5000 2

55.5 0.00313525

160 6300 2

55.5 0.00313525

56 315 2

39.6

152 400 2

39.6 0.00346574

3 500 2

39.6 0.00346574

196 630 2

7

39.6 0.00346574

157 800 2

39.6 0.00346574

221 1000 2

39.6 0.00346574

62 1250 2

39.6 0.00346574

64 1600 2 0.0301 39.6 0.00346574

143 2000 2

39.6 0.00346574

7

139 2500 2

39.6 0.00346574

217 3150 2

39.6 0.00346574

182 4000 2

39.6 0.00346574

162 5000 2

39.6 0.00346574

159 6300 2

39.6 0.00346574

162 315 2

31.7

145 400 2

31.7 0.00372371

203 500 2 0.117 31.7 0.00372371

135 630 2

31.7 0.00372371

158 800 2

31.7 0.00372371

182 1000 2 0.0536 31.7 0.00372371 130.307
35 1250 2

31.7 0.00372371

163 1600 2 0.091 31.7 0.00372371

105 2000 2

31.7 0.00372371

163 2500 2

31.7 0.00372371

131 3150 2

31.7 0.00372371

73 4000 2

31.7 0.00372371

55 5000 2

31.7 0.00372371

181 6300 2

31.7 0.00372371

124 500 4

71.3

55 630 4

9

71.3 0.00400603

136 800 4

71.3 0.00400603

5 1000 4

71.3 0.00400603

179 1250 4

9

71.3 0.00400603

150 1600 4 0.048 71.3 0.00400603

140 2000 4

71.3 0.00400603

96 2500 4 0.127 71.3 0.00400603

157 3150 4

71.3 0.00400603

51 4000 4

5

71.3 0.00400603

153 5000 4

71.3 0.00400603

137 6300 4

71.3 0.00400603

195 8000 4 0.1995 71.3 0.00400603

116 10000 4

71.3 0.00400603

196 12500 4

71.3 0.00400603

65 16000 4

71.3 0.00400603

68

194 20000 4

71.3 0.00400603

113 400 4

55.5

85 500 4 0.1706 55.5 0.0042862

190 630 4 0.0701 55.5 0.0042862

148 800 4 0.157 55.5 0.0042862

64

54 1000 4

7

55.5 0.0042862

183 1250 4

55.5 0.0042862

100 1600 4

4

55.5 0.0042862

92 2000 4 0.0534 55.5 0.0042862

157 2500 4

55.5 0.0042862

40 3150 4

55.5 0.0042862

217 4000 4 0.095 55.5 0.0042862

137 5000 4

55.5 0.0042862

91 6300 4

55.5 0.0042862

96 8000 4 0.048 55.5 0.0042862

203 315 4

39.6

205 400 4

39.6 0.00473801

188 500 4

39.6 0.00473801

29 630 4

39.6 0.00473801

189 800 4

39.6 0.00473801

9

34 1000 4

39.6 0.00473801

56 1250 4

39.6 0.00473801

49 1600 4 0.1838 39.6 0.00473801

145 2000 4 0.193 39.6 0.00473801

11 2500 4

39.6 0.00473801

75 3150 4

39.6 0.00473801

155 4000 4

39.6 0.00473801

132 5000 4

39.6 0.00473801

168 6300 4 0.142 39.6 0.00473801

65 8000 4 0.0592 39.6 0.00473801

38 250 4

31.7

120.189

186 315 4 0.0455 31.7 0.00509068

9 400 4 0.1765 31.7 0.00509068

146 500 4

31.7 0.00509068

123 630 4

31.7 0.00509068

9

108 800 4

31.7 0.00509068

221 1000 4 0.0748 31.7 0.00509068

69

201 1250 4

31.7 0.00509068

25 1600 4

31.7 0.00509068

9

72 2000 4 0.1106 31.7 0.00509068

213 2500 4 0.189 31.7 0.00509068

129 3150 4

31.7 0.00509068

195 4000 4

31.7 0.00509068

141 5000 4

31.7 0.00509068

75 6300 4

31.7 0.00509068

99

33 400 5.3

71.3

127.7

119 500 5.3

71.3 0.0051942

205 630 5.3 0.067 71.3 0.0051942 131.8
120 800 5.3

71.3 0.0051942

110 1000 5.3

71.3 0.0051942 134

208 1250 5.3

71.3 0.0051942

19 1600 5.3

71.3 0.0051942 130.46

211 2000 5.3

71.3 0.0051942

221 2500 5.3

71.3 0.0051942 123.74

23 3150 5.3

71.3 0.0051942

133 4000 5.3

71.3 0.0051942

19 5000 5.3 0.1205 71.3 0.0051942

84 6300 5.3

71.3 0.0051942

167 8000 5.3

71.3 0.0051942 114.9

96 10000 5.3 0.161 71.3 0.0051942

200 250 5.3

39.6

171 315 5.3

39.6 0.00614329

18 400 5.3 0.1186 39.6 0.00614329

107 500 5.3 0.071 39.6 0.00614329

152 630 5.3

6

39.6 0.00614329

120 800 5.3

39.6 0.00614329

143 1000 5.3 0.113 39.6 0.00614329

24 1250 5.3

39.6 0.00614329

104 1600 5.3 0.195 39.6 0.00614329

170 2000 5.3 0.1662 39.6 0.00614329

115 2500 5.3

39.6 0.00614329

159 3150 5.3

39.6 0.00614329

125 4000 5.3 0.1458 39.6 0.00614329

128 5000 5.3

39.6 0.00614329

105 6300 5.3

39.6 0.00614329

209 200 7.3

71.3

190 250 7.3 0.1531 71.3 0.0104404

199 315 7.3

71.3 0.0104404

110 400 7.3

71.3 0.0104404

151 500 7.3 0.1841 71.3 0.0104404

219 630 7.3

71.3 0.0104404

33 800 7.3

71.3 0.0104404

156 1000 7.3

71.3 0.0104404 126.838

161 1250 7.3 0.03 71.3 0.0104404

133 1600 7.3

71.3 0.0104404

131 2000 7.3

71.3 0.0104404

54 2500 7.3

71.3 0.0104404 122.088

24 3150 7.3

71.3 0.0104404

48 4000 7.3

71.3 0.0104404

212 5000 7.3

71.3 0.0104404

91 6300 7.3

71.3 0.0104404

4 200 7.3 0.0614 55.5

187 250 7.3 0.1704 55.5 0.0111706

134 315 7.3 0.0971 55.5 0.0111706

24 400 7.3 0.086 55.5 0.0111706

6 500 7.3 0.0525 55.5 0.0111706

135 630 7.3 0.0591 55.5 0.0111706

132 800 7.3 0.0859 55.5 0.0111706

101 1000 7.3

55.5 0.0111706

34 1250 7.3 0.1198 55.5 0.0111706

27 1600 7.3

55.5 0.0111706

86 2000 7.3

55.5 0.0111706

184 2500 7.3

55.5 0.0111706

35 3150 7.3 0.031 55.5 0.0111706

140 4000 7.3

55.5 0.0111706

173 5000 7.3

55.5 0.0111706

131 6300 7.3 0.1365 55.5 0.0111706

42 200 7.3

39.6

95 250 7.3

39.6 0.0123481

17 315 7.3

39.6 0.0123481

68 400 7.3

39.6 0.0123481

197 500 7.3

39.6 0.0123481

59 630 7.3 0.1222 39.6 0.0123481

2 800 7.3

39.6 0.0123481

119 1000 7.3 0.0925 39.6 0.0123481

19 1250 7.3

39.6 0.0123481

28 1600 7.3 0.155 39.6 0.0123481

65 2000 7.3

39.6 0.0123481

18 2500 7.3 0.164 39.6 0.0123481

9

95 3150 7.3

39.6 0.0123481

201 4000 7.3

39.6 0.0123481

40 5000 7.3

39.6 0.0123481

199 6300 7.3

39.6 0.0123481

1420 200 7.3

31.7

682 250 7.3

31.7 0.0132672

714 315 7.3

31.7 0.0132672

2336 400 7.3 0.1453 31.7 0.0132672

2216 500 7.3 0.1233 31.7 0.0132672

1327 630 7.3

31.7 0.0132672

1025 800 7.3

31.7 0.0132672

920 1000 7.3 0.1765 31.7 0.0132672

465 1250 7.3

31.7 0.0132672

138 1600 7.3

31.7 0.0132672

1411 2000 7.3 0.0446 31.7 0.0132672

1439 2500 7.3 0.1447 31.7 0.0132672

2388 3150 7.3 0.092 31.7 0.0132672

1849 4000 7.3 0.0992 31.7 0.0132672

1740 5000 7.3

31.7 0.0132672

1666 6300 7.3 0.148 31.7 0.0132672

1672 800 0

71.3

2455 1000 0

71.3 0.0015988

403 1250 0

71.3 0.0015988

856 1600 0

71.3 0.0015988

2050 2000 0 0.1567 71.3 0.0015988

1271 2500 0

71.3 0.0015988

2429 3150 0

71.3 0.0015988

812 4000 0

71.3 0.0015988

405 5000 0

71.3 0.0015988

1630 6300 0

71.3 0.0015988

2376 8000 0 0.0916 71.3 0.0015988

861 10000 0 0.0971 71.3 0.0015988

2436 12500 0

4

71.3 0.0015988

36 16000 0

71.3 0.0015988

30 500 0

55.5

76 630 0 0.162 55.5 0.00172668

1155 800 0

55.5 0.00172668

1273 1000 0 0.1184 55.5 0.00172668

1886 1250 0

55.5 0.00172668

630 1600 0

8

55.5 0.00172668

407 2000 0

55.5 0.00172668

488 2500 0 0.168 55.5 0.00172668

1971 3150 0

55.5 0.00172668

62 4000 0

55.5 0.00172668

118 5000 0

55.5 0.00172668

2 6300 0

55.5 0.00172668

42 8000 0

55.5 0.00172668

92 10000 0 0.192 55.5 0.00172668

160 12500 0

8

55.5 0.00172668

149 16000 0 0.0828 55.5 0.00172668

178 500 0 0.1623 39.6

160 630 0

39.6 0.00193287

56 800 0

39.6 0.00193287

152 1000 0 0.1276 39.6 0.00193287

3 1250 0 0.047 39.6 0.00193287

196 1600 0

39.6 0.00193287

157 2000 0 0.1189 39.6 0.00193287

221 2500 0 0.0807 39.6 0.00193287

62 3150 0

39.6 0.00193287

64 4000 0

39.6 0.00193287

143 5000 0 0.0708 39.6 0.00193287

139 6300 0

39.6 0.00193287

217 8000 0

39.6 0.00193287

182 10000 0

39.6 0.00193287

13

162 500 0

31.7

159 630 0

31.7 0.00209405

162 800 0

31.7 0.00209405

145 1000 0

31.7 0.00209405

203 1250 0

31.7 0.00209405

135 1600 0

31.7 0.00209405

158 2000 0

2

31.7 0.00209405

182 2500 0

31.7 0.00209405

35 3150 0

31.7 0.00209405

163 4000 0

31.7 0.00209405

105 5000 0 0.0863 31.7 0.00209405

163 6300 0 0.197 31.7 0.00209405

37

131 8000 0

31.7 0.00209405

73 630 2.7

71.3

55 800 2.7

71.3 0.00243851

181 1000 2.7

1

71.3 0.00243851

124 1250 2.7 0.159 71.3 0.00243851

55 1600 2.7 0.166 71.3 0.00243851

136 2000 2.7

71.3 0.00243851

5 2500 2.7 0.0372 71.3 0.00243851

179 3150 2.7 0.1995 71.3 0.00243851

150 4000 2.7 0.1531 71.3 0.00243851

140 5000 2.7

71.3 0.00243851

96 6300 2.7 0.1189 71.3 0.00243851

157 8000 2.7

71.3 0.00243851

51 10000 2.7 0.131 71.3 0.00243851

153 12500 2.7

71.3 0.00243851

137 16000 2.7

71.3 0.00243851

195 500 2.7

39.6

116 630 2.7

39.6 0.00294804

196 800 2.7 0.1844 39.6 0.00294804

65 1000 2.7

39.6 0.00294804

194 1250 2.7

39.6 0.00294804

113 1600 2.7

39.6 0.00294804

85 2000 2.7

39.6 0.00294804

190 2500 2.7

39.6 0.00294804

148 3150 2.7

39.6 0.00294804

54 4000 2.7

39.6 0.00294804

183 5000 2.7

39.6 0.00294804

100 6300 2.7

39.6 0.00294804

92 8000 2.7

39.6 0.00294804

157 10000 2.7 0.082 39.6 0.00294804

40 12500 2.7 0.092 39.6 0.00294804

217 400 5.4

71.3

137 500 5.4 0.0816 71.3 0.00401199

91 630 5.4

71.3 0.00401199

96 800 5.4 0.1794 71.3 0.00401199

203 1000 5.4

71.3 0.00401199

205 1250 5.4 0.082 71.3 0.00401199

1

188 1600 5.4 0.0727 71.3 0.00401199

29 2000 5.4 0.1866 71.3 0.00401199

189 2500 5.4

71.3 0.00401199 127.591

34 3150 5.4

71.3 0.00401199

56 4000 5.4

71.3 0.00401199

49 5000 5.4

71.3 0.00401199

145 6300 5.4 0.072 71.3 0.00401199

11 400 5.4 0.04 55.5

75 500 5.4

55.5 0.00433288

155 630 5.4 0.122 55.5 0.00433288

132 800 5.4

55.5 0.00433288

168 1000 5.4

55.5 0.00433288

65 1250 5.4

55.5 0.00433288

38 1600 5.4

55.5 0.00433288

186 2000 5.4

55.5 0.00433288

9 2500 5.4

55.5 0.00433288

146 3150 5.4

55.5 0.00433288

123 4000 5.4 0.087 55.5 0.00433288 119.737
108 5000 5.4

55.5 0.00433288

221 6300 5.4

55.5 0.00433288

201 8000 5.4 0.159 55.5 0.00433288

25 315 5.4

39.6

72 400 5.4

39.6 0.00485029

213 500 5.4

39.6 0.00485029

129 630 5.4

39.6 0.00485029

195 800 5.4

39.6 0.00485029

141 1000 5.4

39.6 0.00485029

75 1250 5.4

39.6 0.00485029

33 1600 5.4

39.6 0.00485029

119 2000 5.4 0.1148 39.6 0.00485029

205 2500 5.4

39.6 0.00485029

120 3150 5.4

39.6 0.00485029

110 4000 5.4

39.6 0.00485029

208 5000 5.4

39.6 0.00485029

19 6300 5.4

39.6 0.00485029

211 315 5.4 0.1599 31.7

221 400 5.4

31.7 0.00525474

23 500 5.4

31.7 0.00525474

1

133 630 5.4

31.7 0.00525474

19 800 5.4 0.0423 31.7 0.00525474

84 1000 5.4

31.7 0.00525474

167 1250 5.4 0.0768 31.7 0.00525474

96 1600 5.4

31.7 0.00525474

200 2000 5.4

31.7 0.00525474

171 2500 5.4

31.7 0.00525474

18 3150 5.4 0.1235 31.7 0.00525474

107 4000 5.4 0.1333 31.7 0.00525474

152 5000 5.4 0.1841 31.7 0.00525474

120 6300 5.4 0.0738 31.7 0.00525474

143 315 7.2 0.1715 71.3

24 400 7.2

71.3 0.00752039

104 500 7.2

71.3 0.00752039

170 630 7.2 0.1887 71.3 0.00752039

115 800 7.2 0.0764 71.3 0.00752039

159 1000 7.2 0.0525 71.3 0.00752039

125 1250 7.2 0.104 71.3 0.00752039

128 1600 7.2

71.3 0.00752039

3

105 2000 7.2 0.063 71.3 0.00752039

209 2500 7.2

71.3 0.00752039

190 3150 7.2

71.3 0.00752039

199 4000 7.2

71.3 0.00752039

110 5000 7.2

71.3 0.00752039

151 6300 7.2 0.169 71.3 0.00752039

219 8000 7.2

71.3 0.00752039

33 10000 7.2 0.0792 71.3 0.00752039

156 250 7.2 0.0659 39.6

161 315 7.2

39.6 0.00909175

133 400 7.2 0.0376 39.6 0.00909175

131 500 7.2 0.1732 39.6 0.00909175

54 630 7.2

39.6 0.00909175

24 800 7.2 0.086 39.6 0.00909175

48 1000 7.2

39.6 0.00909175

212 1250 7.2

39.6 0.00909175

91 1600 7.2 0.0886 39.6 0.00909175

4 2000 7.2 0.1147 39.6 0.00909175

187 2500 7.2

39.6 0.00909175

134 3150 7.2 0.1238 39.6 0.00909175

24 4000 7.2

39.6 0.00909175 114.258

6 5000 7.2

39.6 0.00909175

135 6300 7.2

39.6 0.00909175

132 8000 7.2

39.6 0.00909175

101 10000 7.2 0.0908 39.6 0.00909175

34 200 9.9

71.3

27 250 9.9 0.108 71.3 0.0193001

86 315 9.9 0.0951 71.3 0.0193001

184 400 9.9

71.3 0.0193001

9

35 500 9.9 0.0866 71.3 0.0193001

140 630 9.9 0.156 71.3 0.0193001

173 800 9.9

71.3 0.0193001

131 1000 9.9

71.3 0.0193001

42 1250 9.9 0.186 71.3 0.0193001

95 1600 9.9

71.3 0.0193001

17 2000 9.9 0.139 71.3 0.0193001

68 2500 9.9 0.1732 71.3 0.0193001

197 3150 9.9 0.0748 71.3 0.0193001

59 4000 9.9 0.1487 71.3 0.0193001

2 5000 9.9

71.3 0.0193001

119 6300 9.9 0.198 71.3 0.0193001

19 200 9.9

55.5

28 250 9.9

55.5 0.0208438

5

65 315 9.9

55.5 0.0208438

18 400 9.9

55.5 0.0208438

95 500 9.9

55.5 0.0208438

201 630 9.9

55.5 0.0208438 127.315

40 800 9.9

55.5 0.0208438

199 1000 9.9

55.5 0.0208438

1116 1250 9.9

55.5 0.0208438

205 1600 9.9 0.0345 55.5 0.0208438

2146 2000 9.9

55.5 0.0208438

1603 2500 9.9

55.5 0.0208438

914 3150 9.9

55.5 0.0208438

437 4000 9.9

55.5 0.0208438

598 5000 9.9

1

55.5 0.0208438

2801 6300 9.9

55.5 0.0208438

1420 200 9.9 0.0657 39.6

127.315

682 250 9.9

39.6 0.0233328

714 315 9.9 0.04 39.6 0.0233328

2336 400 9.9

39.6 0.0233328

2216 500 9.9 0.0372 39.6 0.0233328

1327 630 9.9

39.6 0.0233328

1025 800 9.9 0.1993 39.6 0.0233328

920 1000 9.9

39.6 0.0233328

465 1250 9.9 0.1158 39.6 0.0233328

138 1600 9.9

39.6 0.0233328

1411 2000 9.9

39.6 0.0233328

1439 2500 9.9 0.129 39.6 0.0233328

2388 3150 9.9 0.139 39.6 0.0233328

1849 4000 9.9

39.6 0.0233328

1740 5000 9.9

39.6 0.0233328

1666 6300 9.9 0.0866 39.6 0.0233328

1672 200 9.9

31.7

2455 250 9.9

31.7 0.0252785

403 315 9.9

31.7 0.0252785

856 400 9.9 0.1619 31.7 0.0252785 128.939
2050 500 9.9

31.7 0.0252785

1271 630 9.9 0.1219 31.7 0.0252785

2429 800 9.9

31.7 0.0252785

812 1000 9.9 0.1164 31.7 0.0252785

405 1250 9.9

31.7 0.0252785

1630 1600 9.9 0.1952 31.7 0.0252785

9

2376 2000 9.9

31.7 0.0252785

861 2500 9.9

31.7 0.0252785

2436 3150 9.9

31.7 0.0252785

36 4000 9.9

31.7 0.0252785

30 5000 9.9

31.7 0.0252785

76 6300 9.9 0.0352 31.7 0.0252785

1155 200 12.6

71.3

128.354

1273 250 12.6

71.3 0.0483159

1886 315 12.6

71.3 0.0483159

630 400 12.6

71.3 0.0483159

407 500 12.6 0.129 71.3 0.0483159

488 630 12.6 0.0917 71.3 0.0483159

1971 800 12.6

71.3 0.0483159

62 1000 12.6 0.076 71.3 0.0483159 122.044
118 1250 12.6 0.1683 71.3 0.0483159

2 1600 12.6

71.3 0.0483159 120.534

42 2000 12.6

71.3 0.0483159

92 2500 12.6 0.1811 71.3 0.0483159

160 3150 12.6 0.0701 71.3 0.0483159

149 4000 12.6

71.3 0.0483159

178 5000 12.6

71.3 0.0483159 108.034

160 6300 12.6

71.3 0.0483159

56 200 12.6 0.1329 39.6

113

114.75

152 250 12.6

39.6 0.0584113

3 315 12.6

39.6 0.0584113

196 400 12.6

39.6 0.0584113

157 500 12.6

39.6 0.0584113 114.9

221 630 12.6 0.1207 39.6 0.0584113 116.55
62 800 12.6

39.6 0.0584113

64 1000 12.6

39.6 0.0584113

143 1250 12.6

39.6 0.0584113 112.16

139 1600 12.6 0.0665 39.6 0.0584113

217 2000 12.6

39.6 0.0584113

182 2500 12.6

39.6 0.0584113

162 3150 12.6

39.6 0.0584113

159 4000 12.6

39.6 0.0584113

162 5000 12.6

39.6 0.0584113

145 6300 12.6 0.0942 39.6 0.0584113

203 800 0

71.3

135 1000 0 0.102 71.3 0.000740478

158 1250 0

71.3 0.000740478

182 1600 0

71.3 0.000740478 129.68

35 2000 0

71.3 0.000740478

163 2500 0

71.3 0.000740478

105 3150 0 0.135 71.3 0.000740478 135.07
163 4000 0 0.1153 71.3 0.000740478

131 5000 0 0.041 71.3 0.000740478 134.43
73 6300 0

71.3 0.000740478

55 8000 0

71.3 0.000740478 130.89

181 10000 0

71.3 0.000740478

124 12500 0 0.1088 71.3 0.000740478 125.22
55 800 0

55.5

136 1000 0 0.1347 55.5 0.00076193

5 1250 0

55.5 0.00076193

179 1600 0

55.5 0.00076193

150 2000 0

55.5 0.00076193

140 2500 0

55.5 0.00076193

96 3150 0 0.0611 55.5 0.00076193

157 4000 0 0.0378 55.5 0.00076193

51 5000 0

55.5 0.00076193

153 6300 0

55.5 0.00076193

137 8000 0

55.5 0.00076193

195 10000 0

55.5 0.00076193

116 12500 0 0.1515 55.5 0.00076193

196 800 0 0.1266 39.6

65 1000 0

39.6 0.000791822

194 1250 0

39.6 0.000791822

113 1600 0

39.6 0.000791822

85 2000 0 0.077 39.6 0.000791822

190 2500 0 0.04 39.6 0.000791822

148 3150 0

39.6 0.000791822

54 4000 0

39.6 0.000791822

183 5000 0

39.6 0.000791822

100 6300 0 0.1299 39.6 0.000791822

92 8000 0 0.1682 39.6 0.000791822

157 10000 0

39.6 0.000791822

40 12500 0 0.0446 39.6 0.000791822

217 800 0

31.7

122.79

137 1000 0

31.7 0.000812164

91 1250 0

31.7 0.000812164

96 1600 0 0.043 31.7 0.000812164 131.01
203 2000 0

31.7 0.000812164

205 2500 0

31.7 0.000812164

188 3150 0

31.7 0.000812164

29 4000 0

31.7 0.000812164 134.11

189 5000 0

31.7 0.000812164 133.23

34 6300 0

31.7 0.000812164 130.34

56 8000 0 0.177 31.7 0.000812164

49 10000 0

31.7 0.000812164

145 12500 0 0.1161 31.7 0.000812164

11 1600 4.2

71.3

75 2000 4.2

71.3 0.00142788

155 2500 4.2 0.033 71.3 0.00142788

132 3150 4.2

71.3 0.00142788

168 4000 4.2 0.1127 71.3 0.00142788

65 5000 4.2 0.1907 71.3 0.00142788

38 6300 4.2

71.3 0.00142788

186 8000 4.2 0.0869 71.3 0.00142788

9 10000 4.2

71.3 0.00142788

146 12500 4.2

71.3 0.00142788

123 1000 4.2

39.6

108 1250 4.2

39.6 0.00152689

221 1600 4.2

39.6 0.00152689

201 2000 4.2

39.6 0.00152689

25 2500 4.2 0.0339 39.6 0.00152689

72 3150 4.2

39.6 0.00152689

213 4000 4.2

39.6 0.00152689 131.807

129 5000 4.2

39.6 0.00152689

195 6300 4.2

39.6 0.00152689

141 8000 4.2

39.6 0.00152689

75 10000 4.2

39.6 0.00152689

33 800 8.4

71.3 0.00529514

119 1000 8.4

71.3 0.00529514

205 1250 8.4 0.113 71.3 0.00529514

120 1600 8.4

71.3 0.00529514

110 2000 8.4

71.3 0.00529514

208 2500 8.4

71.3 0.00529514

19 3150 8.4 0.1902 71.3 0.00529514

6

211 4000 8.4 0.0816 71.3 0.00529514

221 5000 8.4

71.3 0.00529514

23 400 8.4

55.5

133 500 8.4 0.141 55.5 0.00544854

19 630 8.4 0.1715 55.5 0.00544854

84 800 8.4

55.5 0.00544854

167 1000 8.4

55.5 0.00544854

96 1250 8.4

55.5 0.00544854

200 1600 8.4

55.5 0.00544854

171 2000 8.4

55.5 0.00544854

18 2500 8.4 0.1141 55.5 0.00544854

107 3150 8.4

55.5 0.00544854

152 4000 8.4

55.5 0.00544854

120 5000 8.4

55.5 0.00544854

143 400 8.4 0.1681 39.6

24 500 8.4

39.6 0.00566229

104 630 8.4 0.0991 39.6 0.00566229

170 800 8.4 0.0897 39.6 0.00566229

115 1000 8.4

39.6 0.00566229

159 1250 8.4

39.6 0.00566229

125 1600 8.4 0.1684 39.6 0.00566229

128 2000 8.4

39.6 0.00566229

105 2500 8.4

39.6 0.00566229

209 3150 8.4 0.102 39.6 0.00566229

190 4000 8.4 0.1253 39.6 0.00566229

199 400 8.4 0.046 31.7

110 500 8.4

31.7 0.00580776

151 630 8.4

31.7 0.00580776

219 800 8.4 0.1088 31.7 0.00580776

33 1000 8.4

31.7 0.00580776

156 1250 8.4 0.15 31.7 0.00580776 130.156
161 1600 8.4 0.1148 31.7 0.00580776

133 2000 8.4 0.1322 31.7 0.00580776

131 2500 8.4

31.7 0.00580776

54 3150 8.4 0.1186 31.7 0.00580776

24 4000 8.4

31.7 0.00580776

48 200

0.1064 71.3

212 250 11.2 0.1416 71.3 0.014072

91 315 11.2 0.054 71.3 0.014072

4 400 11.2 0.0942 71.3 0.014072

187 500 11.2 0.078 71.3 0.014072

134 630 11.2

71.3 0.014072

24 800 11.2

71.3 0.014072

6 1000 11.2

71.3 0.014072

135 1250 11.2

71.3 0.014072

132 1600 11.2 0.1022 71.3 0.014072

101 2000 11.2

71.3 0.014072

34 2500 11.2

71.3 0.014072

27 3150 11.2

71.3 0.014072

86 4000 11.2

71.3 0.014072

184 200 11.2 0.0548 39.6

35 250 11.2 0.0455 39.6 0.0150478

140 315 11.2

39.6 0.0150478

173 400 11.2

39.6 0.0150478

131 500 11.2

39.6 0.0150478 131.96

42 630 11.2

39.6 0.0150478

95 800 11.2

39.6 0.0150478

17 1000 11.2 0.0363 39.6 0.0150478

68 1250 11.2 0.1185 39.6 0.0150478

197 1600 11.2

39.6 0.0150478 126.54

59 2000 11.2

39.6 0.0150478

2 2500 11.2

39.6 0.0150478 122.17

119 3150 11.2

39.6 0.0150478

19 4000 11.2

39.6 0.0150478

28 200 15.4 0.1975 71.3

65 250 15.4

71.3 0.0264269

18 315 15.4

71.3 0.0264269 126.195

95 400 15.4 0.058 71.3 0.0264269

201 500 15.4

71.3 0.0264269

40 630 15.4 0.1207 71.3 0.0264269

199 800 15.4

71.3 0.0264269

2336 1000 15.4

71.3 0.0264269

2216 1250 15.4

71.3 0.0264269

1327 1600 15.4

71.3 0.0264269

1025 2000 15.4

71.3 0.0264269

920 2500 15.4

71.3 0.0264269

465 3150 15.4 0.0623 71.3 0.0264269

138 4000 15.4

71.3 0.0264269

1411 5000 15.4

71.3 0.0264269 119.135

1439 6300 15.4 0.033 71.3 0.0264269

2388 8000 15.4 0.1888 71.3 0.0264269

1849 200 15.4

55.5

1740 250 15.4

55.5 0.0271925

1666 315 15.4

55.5 0.0271925 125.39

1672 400 15.4

55.5 0.0271925 126.5

2455 500 15.4 0.1161 55.5 0.0271925

403 630 15.4

55.5 0.0271925

856 800 15.4 0.1723 55.5 0.0271925 130.43
2050 1000 15.4 0.1792 55.5 0.0271925 130.4
1271 1250 15.4

55.5 0.0271925 130

2429 1600 15.4

55.5 0.0271925 128.2

812 2000 15.4 0.0888 55.5 0.0271925

405 2500 15.4 0.1526 55.5 0.0271925 125.63
1630 3150 15.4

55.5 0.0271925 123.46

2376 4000 15.4

55.5 0.0271925

861 5000 15.4

55.5 0.0271925 117.11

2436 6300 15.4 0.1957 55.5 0.0271925

36 200 15.4 0.1415 39.6

30 250 15.4

39.6 0.0282593

76 315 15.4 0.1687 39.6 0.0282593

1155 400 15.4

39.6 0.0282593

1273 500 15.4 0.1763 39.6 0.0282593

1886 630 15.4 0.0743 39.6 0.0282593

630 800 15.4

39.6 0.0282593

407 1000 15.4 0.0862 39.6 0.0282593

488 1250 15.4 0.1435 39.6 0.0282593

1971 1600 15.4

39.6 0.0282593

62 2000 15.4 0.1035 39.6 0.0282593

118 2500 15.4 0.1747 39.6 0.0282593

2 3150 15.4 0.1947 39.6 0.0282593

42 4000 15.4 0.0599 39.6 0.0282593

92 5000 15.4

39.6 0.0282593

160 6300 15.4 0.1909 39.6 0.0282593

149 200 15.4 0.1238 31.7

178 250 15.4 0.1368 31.7 0.0289853

160 315 15.4

31.7 0.0289853

56 400 15.4

31.7 0.0289853

152 500 15.4

31.7 0.0289853

3 630 15.4

31.7 0.0289853

196 800 15.4

31.7 0.0289853

157 1000 15.4

31.7 0.0289853

221 1250 15.4

31.7 0.0289853

62 1600 15.4

31.7 0.0289853

64 2000 15.4

31.7 0.0289853

143 2500 15.4

31.7 0.0289853

139 3150 15.4 0.1299 31.7 0.0289853

217 4000 15.4

31.7 0.0289853

182 5000 15.4 0.1339 31.7 0.0289853

162 6300 15.4 0.192 31.7 0.0289853

159 200 19.7

71.3

162 250 19.7 0.1272 71.3 0.0341183

145 315 19.7 0.1529 71.3 0.0341183

203 400 19.7

71.3 0.0341183

135 500 19.7

71.3 0.0341183

158 630 19.7

71.3 0.0341183

5

182 800 19.7 0.1709 71.3 0.0341183

35 1000 19.7

71.3 0.0341183

163 1250 19.7

71.3 0.0341183 121.485

105 1600 19.7 0.1995 71.3 0.0341183

163 2000 19.7 0.1913 71.3 0.0341183

131 2500 19.7

71.3 0.0341183

73 3150 19.7

71.3 0.0341183

55 4000 19.7

71.3 0.0341183

181 200 19.7 0.1005 39.6

124 250 19.7

39.6 0.036484

55 315 19.7

39.6 0.036484

136 400 19.7 0.0917 39.6 0.036484

5 500 19.7 0.0677 39.6 0.036484 128.444
179 630 19.7

39.6 0.036484

150 800 19.7

39.6 0.036484

140 1000 19.7

39.6 0.036484

96 1250 19.7 0.1619 39.6 0.036484

157 1600 19.7

39.6 0.036484

51 2000 19.7

39.6 0.036484

153 2500 19.7

39.6 0.036484

137 3150 19.7 0.1271 39.6 0.036484

195 4000 19.7 0.087 39.6 0.036484

116 2500 0

71.3

196 3150 0 0.1921 71.3 0.000400682

65 4000 0 0.166 71.3 0.000400682

194 5000 0 0.0647 71.3 0.000400682

113 6300 0 0.1684 71.3 0.000400682

85 8000 0 0.1995 71.3 0.000400682

190 10000 0

71.3 0.000400682

148 12500 0 0.067 71.3 0.000400682

54 16000 0 0.0766 71.3 0.000400682

183 20000 0

71.3 0.000400682

100 2000 0 0.1922 55.5

92 2500 0

55.5 0.00041229

157 3150 0 0.1908 55.5 0.00041229

40 4000 0

55.5 0.00041229

217 5000 0

55.5 0.00041229

137 6300 0

55.5 0.00041229

91 8000 0

55.5 0.00041229

96 10000 0

55.5 0.00041229

203 12500 0

55.5 0.00041229

205 16000 0

55.5 0.00041229

188 20000 0 0.1495 55.5 0.00041229

3

29 1600 0

39.6

189 2000 0 0.1507 39.6 0.000428464

34 2500 0 0.0455 39.6 0.000428464

56 3150 0

39.6 0.000428464

49 4000 0

39.6 0.000428464

145 5000 0 0.098 39.6 0.000428464

11 6300 0

39.6 0.000428464

75 8000 0

39.6 0.000428464

155 10000 0

39.6 0.000428464

132 12500 0 0.1834 39.6 0.000428464

168 16000 0

39.6 0.000428464

65 1000 0 0.159 31.7

38 1250 0

31.7 0.000439472

186 1600 0

31.7 0.000439472

9 2000 0 0.0428 31.7 0.000439472

146 2500 0 0.0924 31.7 0.000439472

123 3150 0 0.1915 31.7 0.000439472

108 4000 0 0.1275 31.7 0.000439472

221 5000 0

31.7 0.000439472

201 6300 0

31.7 0.000439472

25 8000 0

31.7 0.000439472

72 10000 0 0.1552 31.7 0.000439472

213 12500 0 0.0623 31.7 0.000439472

129 16000 0 0.078 31.7 0.000439472

195 2000 4.8 0.0859 71.3

141 2500 4.8

71.3 0.000848633

75 3150 4.8 0.1601 71.3 0.000848633

33 4000 4.8

71.3 0.000848633

119 5000 4.8 0.109 71.3 0.000848633

205 6300 4.8 0.0494 71.3 0.000848633

120 8000 4.8 0.0917 71.3 0.000848633

110 10000 4.8 0.09 71.3 0.000848633

208 12500 4.8

71.3 0.000848633

19 16000 4.8 0.1031 71.3 0.000848633

211 20000 4.8

71.3 0.000848633

221 1600 4.8 0.1598 55.5

23 2000 4.8 0.1735 55.5 0.000873218

133 2500 4.8 0.0592 55.5 0.000873218

19 3150 4.8

55.5 0.000873218

84 4000 4.8 0.1158 55.5 0.000873218

167 5000 4.8 0.1356 55.5 0.000873218

96 6300 4.8 0.154 55.5 0.000873218

200 8000 4.8

55.5 0.000873218

171 10000 4.8

55.5 0.000873218

18 12500 4.8

55.5 0.000873218

107 16000 4.8 0.1726 55.5 0.000873218

152 20000 4.8 0.173 55.5 0.000873218

120 500 4.8

39.6

143 630 4.8

39.6 0.000907475

24 800 4.8 0.1983 39.6 0.000907475

104 1000 4.8 0.097 39.6 0.000907475

170 1250 4.8 0.145 39.6 0.000907475

115 1600 4.8

39.6 0.000907475

159 2000 4.8

39.6 0.000907475

125 2500 4.8 0.1796 39.6 0.000907475

128 3150 4.8 0.0802 39.6 0.000907475

105 4000 4.8

39.6 0.000907475

209 5000 4.8 0.046 39.6 0.000907475

190 6300 4.8

39.6 0.000907475

199 8000 4.8 0.14 39.6 0.000907475

110 10000 4.8 0.1645 39.6 0.000907475

151 500 4.8 0.116 31.7

219 630 4.8 0.0346 31.7 0.000930789

33 800 4.8 0.153 31.7 0.000930789

156 1000 4.8 0.0907 31.7 0.000930789

161 1250 4.8

31.7 0.000930789

133 1600 4.8 0.1171 31.7 0.000930789

131 2000 4.8 0.1527 31.7 0.000930789

54 2500 4.8

31.7 0.000930789

24 3150 4.8 0.1989 31.7 0.000930789

48 4000 4.8 0.0742 31.7 0.000930789

212 5000 4.8

31.7 0.000930789

91 6300 4.8

31.7 0.000930789

4 8000 4.8 0.185 31.7 0.000930789

187 630 9.5 0.1171 71.3

134 800 9.5

71.3 0.00420654

24 1000 9.5 0.1443 71.3 0.00420654

6 1250 9.5 0.0751 71.3 0.00420654

135 1600 9.5

71.3 0.00420654

132 2000 9.5 0.0574 71.3 0.00420654

101 2500 9.5 0.0614 71.3 0.00420654

34 3150 9.5 0.0847 71.3 0.00420654

27 4000 9.5 0.1089 71.3 0.00420654

86 5000 9.5 0.0615 71.3 0.00420654

184 6300 9.5

71.3 0.00420654

35 400 9.5 0.0712 55.5

140 500 9.5

55.5 0.0043284

173 630 9.5

55.5 0.0043284

131 800 9.5 0.0597 55.5 0.0043284

42 1000 9.5

55.5 0.0043284

95 1250 9.5 0.033 55.5 0.0043284

17 1600 9.5 0.172 55.5 0.0043284

68 2000 9.5 0.1231 55.5 0.0043284

197 2500 9.5

55.5 0.0043284

59 3150 9.5

55.5 0.0043284

2 4000 9.5 0.121 55.5 0.0043284

119 5000 9.5

55.5 0.0043284

19 6300 9.5

55.5 0.0043284

28 200 9.5 0.0375 39.6

65 250 9.5

39.6 0.00449821

18 315 9.5 0.1555 39.6 0.00449821

95 400 9.5 0.1235 39.6 0.00449821

201 500 9.5

39.6 0.00449821

40 630 9.5

39.6 0.00449821

199 800 9.5

39.6 0.00449821

1116 1000 9.5

39.6 0.00449821

205 1250 9.5

39.6 0.00449821

2146 1600 9.5 0.1326 39.6 0.00449821

1603 2000 9.5

39.6 0.00449821

914 2500 9.5

39.6 0.00449821

437 3150 9.5

39.6 0.00449821

598 4000 9.5

39.6 0.00449821

2801 5000 9.5 0.0429 39.6 0.00449821

1420 6300 9.5

39.6 0.00449821 120.324

682 200 9.5 0.198 31.7

714 250 9.5 0.1217 31.7 0.00461377

2336 315 9.5 0.0904 31.7 0.00461377

2216 400 9.5 0.0745 31.7 0.00461377

1327 500 9.5 0.0917 31.7 0.00461377

1025 630 9.5

31.7 0.00461377

920 800 9.5 0.0455 31.7 0.00461377

465 1000 9.5 0.0477 31.7 0.00461377 131.346
138 1250 9.5

31.7 0.00461377

1411 1600 9.5

31.7 0.00461377

1439 2000 9.5

31.7 0.00461377

2388 2500 9.5 0.1296 31.7 0.00461377

1849 3150 9.5

31.7 0.00461377

1740 4000 9.5 0.0313 31.7 0.00461377

1666 5000 9.5

31.7 0.00461377

1672 6300 9.5

31.7 0.00461377

2455 250 12.7

71.3

403 315 12.7

71.3 0.0121808

856 400 12.7

71.3 0.0121808

2050 500 12.7

71.3 0.0121808

1271 630 12.7

71.3 0.0121808

2429 800 12.7 0.0594 71.3 0.0121808

812 1000 12.7

71.3 0.0121808

405 1250 12.7 0.1688 71.3 0.0121808

1630 1600 12.7 0.174 71.3 0.0121808

2376 2000 12.7 0.0863 71.3 0.0121808

861 2500 12.7

71.3 0.0121808

2436 3150 12.7 0.1367 71.3 0.0121808

36 4000 12.7 0.0672 71.3 0.0121808

30 5000 12.7 0.171 71.3 0.0121808

76 6300 12.7

71.3 0.0121808

1155 8000 12.7 0.1258 71.3 0.0121808

1273 10000 12.7 0.1295 71.3 0.0121808

1886 250 12.7

39.6

630 315 12.7 0.1803 39.6 0.0130253

407 400 12.7 0.0394 39.6 0.0130253

488 500 12.7

39.6 0.0130253

1971 630 12.7

39.6 0.0130253

62 800 12.7

39.6 0.0130253

118 1000 12.7 0.06 39.6 0.0130253

7

2 1250 12.7 0.1491 39.6 0.0130253 130.777
42 1600 12.7

39.6 0.0130253

92 2000 12.7 0.0947 39.6 0.0130253

160 2500 12.7 0.127 39.6 0.0130253

149 3150 12.7

39.6 0.0130253

178 4000 12.7

39.6 0.0130253

160 5000 12.7 0.1198 39.6 0.0130253

56 6300 12.7 0.0766 39.6 0.0130253

152 8000 12.7

39.6 0.0130253

3 10000 12.7 0.0379 39.6 0.0130253

196 200 17.4

71.3

157 250 17.4 0.153 71.3 0.016104

221 315 17.4 0.1479 71.3 0.016104

62 400 17.4 0.1627 71.3 0.016104

64 500 17.4 0.1782 71.3 0.016104

143 630 17.4 0.183 71.3 0.016104

139 800 17.4 0.176 71.3 0.016104

217 1000 17.4

71.3 0.016104

182 1250 17.4

71.3 0.016104

162 1600 17.4 0.0355 71.3 0.016104

159 2000 17.4

71.3 0.016104

162 2500 17.4 0.0807 71.3 0.016104

145 3150 17.4 0.162 71.3 0.016104

203 4000 17.4

71.3 0.016104 125.586

135 5000 17.4

71.3 0.016104

158 6300 17.4 0.062 71.3 0.016104

6

182 8000 17.4 0.1272 71.3 0.016104

35 200 17.4

55.5

163 250 17.4

55.5 0.0165706

105 315 17.4 0.1966 55.5 0.0165706

163 400 17.4 0.0322 55.5 0.0165706

131 500 17.4 0.1898 55.5 0.0165706

73 630 17.4 0.14 55.5 0.0165706

55 800 17.4 0.0404 55.5 0.0165706

181 1000 17.4

55.5 0.0165706

124 1250 17.4 0.128 55.5 0.0165706

55 1600 17.4 0.0753 55.5 0.0165706

136 2000 17.4 0.1604 55.5 0.0165706

5 2500 17.4 0.1601 55.5 0.0165706

179 3150 17.4

55.5 0.0165706

150 4000 17.4 0.1748 55.5 0.0165706

140 5000 17.4

55.5 0.0165706

96 6300 17.4 0.157 55.5 0.0165706

157 200 17.4 0.127 39.6

51 250 17.4 0.1852 39.6 0.0172206

153 315 17.4

39.6 0.0172206

137 400 17.4 0.172 39.6 0.0172206

195 500 17.4 0.1371 39.6 0.0172206

116 630 17.4 0.0555 39.6 0.0172206

196 800 17.4 0.0607 39.6 0.0172206

65 1000 17.4

39.6 0.0172206

194 1250 17.4 0.144 39.6 0.0172206

113 1600 17.4 0.1123 39.6 0.0172206

85 2000 17.4 0.0608 39.6 0.0172206

190 2500 17.4 0.1224 39.6 0.0172206

148 3150 17.4

39.6 0.0172206

54 4000 17.4

39.6 0.0172206

183 5000 17.4 0.1168 39.6 0.0172206

100 200 17.4 0.057 31.7

92 250 17.4 0.0951 31.7 0.0176631

157 315 17.4 0.0423 31.7 0.0176631

40 400 17.4

31.7 0.0176631 120.766

217 500 17.4

31.7 0.0176631

137 630 17.4

31.7 0.0176631

91 800 17.4 0.0731 31.7 0.0176631

96 1000 17.4

31.7 0.0176631

203 1250 17.4 0.1652 31.7 0.0176631

205 1600 17.4

31.7 0.0176631

188 2000 17.4 0.1164 31.7 0.0176631

29 2500 17.4

31.7 0.0176631

189 3150 17.4 0.0351 31.7 0.0176631

34 4000 17.4

31.7 0.0176631

56 5000 17.4 0.1684 31.7 0.0176631

49 315 22.2

71.3

145 400 22.2 0.168 71.3 0.0214178

11 500 22.2 0.0428 71.3 0.0214178

75 630 22.2 0.0668 71.3 0.0214178

155 800 22.2

71.3 0.0214178

132 1000 22.2

71.3 0.0214178

168 1250 22.2 0.0719 71.3 0.0214178

65 1600 22.2 0.1142 71.3 0.0214178

38 2000 22.2 0.0905 71.3 0.0214178

186 2500 22.2

71.3 0.0214178

9 3150 22.2

71.3 0.0214178

146 4000 22.2 0.0556 71.3 0.0214178

123 5000 22.2

71.3 0.0214178

108 6300 22.2

71.3 0.0214178

221 8000 22.2 0.161 71.3 0.0214178

201 200 22.2

39.6

25 250 22.2

39.6 0.0229028

72 315 22.2 0.1233 39.6 0.0229028

213 400 22.2 0.1866 39.6 0.0229028

129 500 22.2

39.6 0.0229028

195 630 22.2 0.1223 39.6 0.0229028

141 800 22.2

39.6 0.0229028

75 1000 22.2 0.0443 39.6 0.0229028

33 1250 22.2 0.1792 39.6 0.0229028

119 1600 22.2 0.1961 39.6 0.0229028

205 2000 22.2 0.0915 39.6 0.0229028

120 2500 22.2

39.6 0.0229028

110 3150 22.2 0.037 39.6 0.0229028

208 4000 22.2

39.6 0.0229028

19 5000 22.2

39.6 0.0229028

211 630 0

71.3

221 800 0 0.079 71.3 0.00121072 126.805
23 1000 0

71.3 0.00121072

133 1250 0

71.3 0.00121072

19 1600 0 0.0468 71.3 0.00121072

84 2000 0

71.3 0.00121072

167 2500 0

71.3 0.00121072

96 3150 0 0.1463 71.3 0.00121072 131.955
200 4000 0 0.1473 71.3 0.00121072

171 5000 0

71.3 0.00121072

18 6300 0

71.3 0.00121072 129.395

107 8000 0 0.0313 71.3 0.00121072

152 10000 0 0.1035 71.3 0.00121072

120 12500 0 0.148 71.3 0.00121072

143 630 0

55.5

24 800 0

55.5 0.00131983

104 1000 0

55.5 0.00131983 129.8

170 1250 0 0.1435 55.5 0.00131983

115 1600 0 0.0681 55.5 0.00131983

159 2000 0

55.5 0.00131983

125 2500 0 0.1337 55.5 0.00131983 133.04
128 3150 0

55.5 0.00131983

105 4000 0 0.057 55.5 0.00131983 129.5
209 5000 0 0.1404 55.5 0.00131983 128.36
190 6300 0

55.5 0.00131983

199 8000 0 0.0991 55.5 0.00131983

110 10000 0 0.1452 55.5 0.00131983 121.93
151 12500 0

55.5 0.00131983 119.91

219 630 0

39.6

33 800 0

39.6 0.00146332

156 1000 0

39.6 0.00146332

161 1250 0 0.1141 39.6 0.00146332

133 1600 0 0.1556 39.6 0.00146332

131 2000 0 0.137 39.6 0.00146332

54 2500 0 0.0592 39.6 0.00146332

24 3150 0 0.0972 39.6 0.00146332

48 4000 0 0.1188 39.6 0.00146332

212 5000 0 0.198 39.6 0.00146332

91 6300 0 0.0892 39.6 0.00146332

4 8000 0

39.6 0.00146332

187 10000 0 0.0425 39.6 0.00146332

134 630 0

31.7

24 800 0

31.7 0.00150092

6 1000 0 0.0334 31.7 0.00150092

135 1250 0 0.0392 31.7 0.00150092

132 1600 0

31.7 0.00150092

101 2000 0 0.0919 31.7 0.00150092

34 2500 0

31.7 0.00150092

27 3150 0 0.179 31.7 0.00150092

86 4000 0 0.0809 31.7 0.00150092

184 5000 0 0.1284 31.7 0.00150092

35 6300 0 0.1091 31.7 0.00150092

140 8000 0

31.7 0.00150092

173 10000 0

31.7 0.00150092

131 800 3.3 0.0881 71.3

42 1000 3.3 0.1171 71.3 0.00202822

95 1250 3.3 0.0756 71.3 0.00202822

17 1600 3.3 0.1331 71.3 0.00202822

68 2000 3.3 0.1844 71.3 0.00202822

197 2500 3.3 0.1011 71.3 0.00202822

59 3150 3.3

71.3 0.00202822

2 4000 3.3

71.3 0.00202822

119 5000 3.3 0.147 71.3 0.00202822 127.054
19 6300 3.3 0.1261 71.3 0.00202822

28 8000 3.3

71.3 0.00202822

65 10000 3.3

71.3 0.00202822

18 630 3.3

55.5

95 800 3.3

55.5 0.002211

201 1000 3.3 0.0364 55.5 0.002211

40 1250 3.3

55.5 0.002211

199 1600 3.3 0.1671 55.5 0.002211

2336 2000 3.3 0.1488 55.5 0.002211 133.649
2216 2500 3.3

55.5 0.002211

1327 3150 3.3 0.182 55.5 0.002211

1025 4000 3.3 0.1347 55.5 0.002211

920 5000 3.3

55.5 0.002211

465 6300 3.3

55.5 0.002211

138 8000 3.3

55.5 0.002211

1411 10000 3.3 0.0375 55.5 0.002211

1439 630 3.3

39.6

2388 800 3.3 0.1314 39.6 0.00245138

1849 1000 3.3

39.6 0.00245138

1740 1250 3.3 0.0865 39.6 0.00245138

1666 1600 3.3 0.0975 39.6 0.00245138

1672 2000 3.3 0.104 39.6 0.00245138

2455 2500 3.3

39.6 0.00245138

403 3150 3.3

39.6 0.00245138 128.401

856 4000 3.3

39.6 0.00245138

2050 5000 3.3 0.068 39.6 0.00245138

1271 6300 3.3 0.1103 39.6 0.00245138

2429 8000 3.3

39.6 0.00245138

812 10000 3.3

39.6 0.00245138

405 630 3.3

31.7

1630 800 3.3 0.1745 31.7 0.00251435

2376 1000 3.3

31.7 0.00251435

861 1250 3.3

31.7 0.00251435

2436 1600 3.3 0.1713 31.7 0.00251435

36 2000 3.3 0.0481 31.7 0.00251435

30 2500 3.3

31.7 0.00251435

76 3150 3.3 0.0962 31.7 0.00251435

1155 4000 3.3

31.7 0.00251435

1273 5000 3.3 0.0584 31.7 0.00251435

1886 6300 3.3 0.1734 31.7 0.00251435

630 8000 3.3 0.0422 31.7 0.00251435

407 630 6.7

71.3

488 800 6.7 0.1575 71.3 0.00478288

1971 1000 6.7

71.3 0.00478288

62 1250 6.7 0.172 71.3 0.00478288

118 1600 6.7

71.3 0.00478288

2 2000 6.7

71.3 0.00478288

42 2500 6.7 0.1585 71.3 0.00478288

92 3150 6.7

71.3 0.00478288

160 500 6.7

55.5

149 630 6.7

55.5 0.0052139

178 800 6.7 0.1366 55.5 0.0052139

160 1000 6.7 0.194 55.5 0.0052139

56 1250 6.7

55.5 0.0052139

152 1600 6.7

55.5 0.0052139

3 2000 6.7 0.173 55.5 0.0052139

196 2500 6.7 0.0613 55.5 0.0052139

157 400 6.7 0.0594 39.6

221 500 6.7

39.6 0.00578076

62 630 6.7 0.1417 39.6 0.00578076

64 800 6.7 0.1388 39.6 0.00578076

143 1000 6.7 0.0497 39.6 0.00578076

139 1250 6.7 0.1339 39.6 0.00578076

217 1600 6.7 0.0769 39.6 0.00578076

182 2000 6.7

39.6 0.00578076

162 315 6.7 0.1035 31.7

159 400 6.7

31.7 0.00592927

162 500 6.7 0.1724 31.7 0.00592927

145 630 6.7 0.1891 31.7 0.00592927

203 800 6.7

31.7 0.00592927

135 1000 6.7 0.1331 31.7 0.00592927

158 1250 6.7 0.0718 31.7 0.00592927

182 1600 6.7

31.7 0.00592927

35 2000 6.7 0.154 31.7 0.00592927

163 200 8.9

71.3

105 250 8.9

71.3 0.0103088

163 315 8.9 0.0643 71.3 0.0103088

131 400 8.9

71.3 0.0103088

73 500 8.9

71.3 0.0103088

55 630 8.9 0.181 71.3 0.0103088

181 800 8.9 0.1299 71.3 0.0103088

124 1000 8.9 0.1281 71.3 0.0103088

55 1250 8.9

71.3 0.0103088

136 1600 8.9 0.1339 71.3 0.0103088

5 2000 8.9

71.3 0.0103088

179 2500 8.9

71.3 0.0103088

150 3150 8.9

71.3 0.0103088

140 4000 8.9 0.1538 71.3 0.0103088

96 5000 8.9

71.3 0.0103088

157 6300 8.9 0.0615 71.3 0.0103088

51 200 8.9

39.6

153 250 8.9 0.1201 39.6 0.0124596

137 315 8.9

39.6 0.0124596

195 400 8.9

39.6 0.0124596

116 500 8.9 0.1962 39.6 0.0124596 133.79
196 630 8.9 0.1168 39.6 0.0124596

65 800 8.9 0.1488 39.6 0.0124596 130.94
194 1000 8.9 0.1669 39.6 0.0124596

113 1250 8.9

39.6 0.0124596

85 1600 8.9 0.1479 39.6 0.0124596

190 2000 8.9 0.1255 39.6 0.0124596

148 2500 8.9

39.6 0.0124596

54 3150 8.9

39.6 0.0124596

183 4000 8.9

39.6 0.0124596 116.22

100 5000 8.9

39.6 0.0124596 113.08

92 6300 8.9 0.0665 39.6 0.0124596

157 200 12.3 0.1961 71.3

40 250 12.3 0.1918 71.3 0.0337792

217 315 12.3 0.049 71.3 0.0337792

137 400 12.3 0.0962 71.3 0.0337792

91 500 12.3

71.3 0.0337792

96 630 12.3

71.3 0.0337792

203 800 12.3 0.1547 71.3 0.0337792

205 1000 12.3

71.3 0.0337792

188 1250 12.3

71.3 0.0337792

29 1600 12.3

71.3 0.0337792

189 2000 12.3

71.3 0.0337792

34 2500 12.3

71.3 0.0337792

56 3150 12.3 0.0987 71.3 0.0337792

49 4000 12.3 0.0952 71.3 0.0337792

145 5000 12.3

71.3 0.0337792

11 6300 12.3 0.0585 71.3 0.0337792

75 200 12.3 0.1217 55.5

132.304

155 250 12.3

55.5 0.0368233

132 315 12.3

55.5 0.0368233

168 400 12.3 0.0618 55.5 0.0368233

65 500 12.3 0.099 55.5 0.0368233

38 630 12.3 0.1908 55.5 0.0368233

186 800 12.3

55.5 0.0368233

9 1000 12.3 0.0778 55.5 0.0368233

146 1250 12.3 0.1609 55.5 0.0368233

123 1600 12.3 0.11 55.5 0.0368233

108 2000 12.3 0.0456 55.5 0.0368233

221 2500 12.3

55.5 0.0368233

201 3150 12.3 0.0829 55.5 0.0368233

25 4000 12.3

55.5 0.0368233

72 5000 12.3

55.5 0.0368233

213 6300 12.3 0.1434 55.5 0.0368233

129 200 12.3 0.1253 39.6

195 250 12.3

39.6 0.0408268

141 315 12.3

39.6 0.0408268

75 400 12.3

39.6 0.0408268

33 500 12.3

39.6 0.0408268

119 630 12.3

39.6 0.0408268

205 800 12.3 0.1463 39.6 0.0408268

120 1000 12.3 0.1529 39.6 0.0408268

110 1250 12.3 0.1462 39.6 0.0408268

208 1600 12.3

39.6 0.0408268

19 2000 12.3 0.1426 39.6 0.0408268

211 2500 12.3

39.6 0.0408268

221 3150 12.3 0.1136 39.6 0.0408268

23 4000 12.3 0.0917 39.6 0.0408268 110.905
133 5000 12.3 0.1601 39.6 0.0408268

19 6300 12.3

39.6 0.0408268

84 200 12.3 0.1443 31.7

167 250 12.3

31.7 0.0418756

96 315 12.3 0.0509 31.7 0.0418756

200 400 12.3

31.7 0.0418756

171 500 12.3 0.1251 31.7 0.0418756

18 630 12.3 0.0917 31.7 0.0418756

107 800 12.3

31.7 0.0418756

152 1000 12.3

31.7 0.0418756

120 1250 12.3 0.1005 31.7 0.0418756

143 1600 12.3 0.1965 31.7 0.0418756

24 2000 12.3

31.7 0.0418756

104 2500 12.3

31.7 0.0418756

170 3150 12.3 0.1504 31.7 0.0418756

115 4000 12.3 0.1332 31.7 0.0418756

159 5000 12.3

31.7 0.0418756

125 6300 12.3 0.1989 31.7 0.0418756

128 200 15.6 0.1866 71.3

105 250 15.6 0.0759 71.3 0.0437259

209 315 15.6

71.3 0.0437259

190 400 15.6 0.1863 71.3 0.0437259 134.058
199 500 15.6

71.3 0.0437259

110 630 15.6

71.3 0.0437259

151 800 15.6

71.3 0.0437259

219 1000 15.6 0.1754 71.3 0.0437259

33 1250 15.6

71.3 0.0437259

156 1600 15.6 0.098 71.3 0.0437259

161 2000 15.6 0.1535 71.3 0.0437259

133 2500 15.6 0.1982 71.3 0.0437259

131 3150 15.6

71.3 0.0437259

54 4000 15.6 0.0608 71.3 0.0437259

24 200 15.6 0.1754 39.6

48 250 15.6 0.14 39.6 0.0528487

212 315 15.6 0.0763 39.6 0.0528487

91 400 15.6 0.1088 39.6 0.0528487

4 500 15.6

39.6 0.0528487

187 630 15.6 0.1544 39.6 0.0528487

134 800 15.6 0.0453 39.6 0.0528487

24 1000 15.6 0.1197 39.6 0.0528487

6 1250 15.6 0.192 39.6 0.0528487

135 1600 15.6 0.1599 39.6 0.0528487

132 2000 15.6

39.6 0.0528487

101 2500 15.6

39.6 0.0528487

34 3150 15.6 0.1644 39.6 0.0528487

27 4000 15.6

39.6 0.0528487

86 5000 15.6 0.1915 39.6 0.0528487

184 6300 15.6 0.19 39.6 0.0528487

Frequency (Hz) Angle in Degrees Chord Length Velocity (Meters per Second) Displacement Decibel
0.1809 71.3 0.00266337 126.201
0.0893 125.201
1250 0.031 125.951
0.186 127.591
2216 2000 0.0705 127.461
1327 2500 0.128 125.571
315 0.19
400 0.135 123.061
5000 0.168 121.301
6300 0.15 119.54
1411 8000 0.05 117.151
1439 10000 0.1513 115.391
12500 0.1238 112.241
1849 16000 0.127 108.721
0.166 55.5 0.00283081 126.416
0.1515 127.696
1672 0.122 128.086
2455 0.09 126.966
0.172 126.086
0.11 126.986
126.616
0.198 124.106
3150 0.1159 123.236
4000 0.033 121.106
0.0364 119.606
1630 0.1231 117.976
0.06 116.476
0.1365 113.076
0.117 111.076
0.1752 39.6 0.00310138 118.129
0.

1886 119.319
0.0328 122.779
1155 0.04 12

4.8
0.1188 126.959
0.14 128.629
0.195 129.099
0.095 127.899
0.1033 125.499
1971 0.1205 124.049
0.079 123.689
0.153 121.399
0.1122 120.319
0.1113 119.229
0.0395 117.789
0.1158 116.22
0.1531 114.779
0.0536 112.139
0.0614 109.619
0.1989 31.7 0.00331266 117.195
0.148 118.595
0.189 122.765
0.1004 125.045
0.1402 127.315
0.091 129.095
0.0443 129.235
0.0917 127.365
0.0738 124.355
0.1069 122.365
0.0592 122.375
0.1304 120.755
0.1722 119.135
118.145
0.0533 115.645
0.038 113.775
0.0611 110.515
0.0512 108.265
0.0525 0.00336729 127.122
0.119 125.992
0.0502 125.872
0.1675 126.632
0.076 126.642
0.1848 124.512
0.0301 123.392
0.108 121.762
0.0336 119.632
0.141 118.122
0.0908 115.372
0.1899 113.492
0.041 109.222
0.1952 106.582
0.185 0.00392107 121.851
0.159 124.001
0.069 126.661
128.311
0.099 128.831
0.161 127.581
0.0352 125.211
0.155 1

22.2
0.192 122.101
0.1106 120.981
0.037 119.111
0.078 117.741
0.144 116.241
0.145 114.75
0.1235 112.251
0.093 108.991
0.1307 106.111
0.00425727 127.564
0.157 12

8.4
0.1453 129.354
0.171 129.494
0.104 129.004
0.1201 127.634
126.5
0.1415 125.524
0.137 124.024
0.0396 121.514
120.264
0.1359 118.134
0.086 116.134
0.1713 114.634
0.0617 110.224
0.0351 0.00452492 126.159
0.0869 128.179
0.092 129.5
0.046 129.949
0.0912 129.329
0.1189 127.329
0.072 124.439
0.097 123.069
0.1719 122.439
0.1601 120.189
118.689
0.176 117.309
0.1207 115.679
0.0464 113.799
0.054 112.16
0.1325 0.00495741 123.312
0.1342 125.472
0.0755 127.632
0.129 129.292
0.0932 129.552
0.0514 128.312
0.1089 125.802
0.0886 122.782
0.0375 120.532
0.1367 12

0.162
0.087 118.922
0.0527 116.792
0.0804 115.792
0.1046 114.042
0.0376 110.652
0.0866 0.00529514 123.118
0.1706 125.39
0.0415 127.548
0.147 128.698
0.1076 128.708
0.1267 126.838
124.838
0.1347 122.088
0.1087 120.088
0.1435 119.598
0.197 118.108
0.1044 115.608
0.0841 113.858
0.183 109.718
0.00497773 126.395
0.169 128.175
0.0768 129.575
0.109 130.715
0.0793 131.615
0.1529 131.755
0.098 131.01
0.1105 129.395
0.062 126.645
0.1327 124.395
123.775
0.1477 121.775
0.116 119.535
0.154 117.785
0.048 116.165
0.0591 113.665
0.179 110.905
0.1765 107.405
0.1491 0.00579636 123.543
0.0971 126.843
128.633
0.193 13

0.173
0.1458 131.073
0.1364 130.723
0.1705 128.723
0.1915 126.343
0.0907 123.213
0.1071 120.963
0.0701 120.233
0.082 118.743
0.0889 115.863
0.1509 113.733
0.1841 0.00214345 128.144
0.0952 129.134
0.1142 128.2
128.354
0.1754 127.834
0.047 125.824
0.1279 124.304
0.1299 122.044
0.1322 118.024
0.1343
0.1186 117.624
0.0951 114.9
20000 0.1286 114.474
0.0852 0.00229336
0.0318 121.66
123.78
0.194 126.16
0.0807 127.53
128.29
0.083 127.91
0.1852 126.79
0.071 126.54
0.0748
125.16
0.1268 123.41
0.125 122.41
0.0859 118.41
1116 0.164 0.00253511 121.055
0.0708 123.565
2146 0.0366 126.195
1603 0.1473 128.705
0.1221 130.205
130.4
0.0359
2801 0.0752 127.095
0.0322 125.305
125.025
0.0813 124.625
0.049 123.46
0.1688 122.17
0.1373 1

17.4
0.0339 0.0027238 120.595
0.1574 123.635
0.1644 126.675
0.1619 129.465
0.1495 130.725
130.595
0.0561 128.805
125.625
0.1064 123.455
0.0659 123.445
0.1844
0.1684 122.035
0.1146 120.505
116.815
0.0805 0.00293031 125.116
0.0517 126.486
0.0455 127.356
128.216
0.0501 128.956
0.1657 128.816
0.182 127.7
0.0534 126.896
0.063 127.006
0.0456 126.116
0.1794 124.086
0.1096 122.816
0.067 120.786
0.1175 115.996
0.0453 113.08
0.0742 0.00313525 122.292
0.1016 124.692
0.0394 126.842
0.1108 128.492
0.0814 129.002
0.0745 128.762
0.131 126.752
0.1922 124.612
0.0548 123.862
0.0828 123.74
0.1896 122.232
0.1276 120.472
0.1103 118.712
0.0942 0.00346574 120.137
0.1995 122.147
0.1147 125.157
0.156 127.417
0.1067 129.037
0.1645 129.147
0.1467 128.257
125.837
0.0798 122.79
0.0923 121.397
0.0477 121.627
0.0802 120.227
0.0675 118.827
0.1538 116.417
0.1486 0.00372371 120.147
0.0325 123.417
126.677
0.0887 129.057
0.0327 130.307
0.1725 128.677
125.797
0.1721 123.037
0.1074 121.407
0.1918 121.527
0.0361 120.527
0.1984 118.267
0.0896 115.137
0.1623 0.00400603 126.758
0.043 129.038
0.1536 130.688
0.0749 131.708
0.121 131.718
129.468
0.1898 126.218
124.338
0.1729 124.108
0.142 121.728
0.1271 121.118
0.1662 118.618
112.848
0.1164 113.108
0.1326 114.258
0.1547 1

12.7
0.0709 109.638
0.1782 0.0042862 123.274
127.314
129.964
131.8
0.177 132.134
0.1184 131.264
0.058 128.264
124.254
0.0624 122.384
0.0428 122.394
120.654
0.0363 120.034
0.1145 117.154
112.524
0.1222 0.00473801 122.229
0.1704 123.879
0.0623 127.039
0.1377 129.579
0.0335 130.46
0.1969 129.969
0.0379 128.339
125.319
121.659
0.1185 119.649
0.1241 120.419
0.1732 119.159
0.1443 117.649
114.249
113.129
0.0925 0.00509068
123.609
126.149
0.0984 128.939
0.1504 130.34
0.0345 130.869
129.8
0.1032 128.119
0.1888 125.22
122.089
120.209
0.0976 120.229
0.1902 118.859
0.1052 115.969
0.0964 1

12.6
0.0446 0.0051942
0.0885 129.88
0.1447 133.48
0.0712
0.0713 133.38
0.1366
0.1805 125.89
0.0766
0.0808 123.12
0.0833 120.33
118.05
0.1224 116.92
0.1564
111.35
0.1585 0.00614329 127.011
0.1404 129.691
131.221
132.251
0.113 132.011
0.1649 129.491
125.581
0.1463 125.721
123.081
117.911
0.1253 116.151
0.1555 118.441
115.801
0.1178 115.311
0.1735 112.541
0.0672 0.0104404 138.758
139.918
0.0377 139.808
0.0423 139.438
136.798
0.1148 133.768
0.1198 130.748
0.1975
127.358
0.1233 125.728
0.0612 122.708
0.1212
0.0916 120.458
0.1682 119.208
0.1487 115.298
0.1532 115.818
0.0111706 135.234
136.384
136.284
135.924
133.174
130.934
128.444
0.1339 125.194
125.724
0.1176 123.354
0.1709 120.354
0.0665 118.994
117.134
0.0928 117.284
0.0987 113.144
111.534
0.1005 0.0123481 130.989
0.0607 131.889
0.1462 132.149
0.0727 132.039
0.1168 130.299
128.929
0.1723 126.299
122.539
0.0416 123.189
121.059
0.1197 117.809
116.55
0.0881 114.309
0.1652 114.079
0.1552 111.959
0.1983 110.839
0.1091 0.0132672 128.679
0.0897 130.089
0.0985 130.239
130.269
128.169
0.1422 126.189
0.057 123.209
119.099
0.1266 120.509
0.1887 119.039
115.309
114.709
113.229
112.639
0.0451 111.029
110.689
0.0691 0.0015988 125.817
0.1088 127.307
0.0695 128.927
0.1997 129.667
128.647
0.0585 128.127
0.1333 129.377
0.0615 128.857
0.1455 126.457
0.1136 125.427
122.527
120.247
0.102 117.087
0.0863 113.297
0.0558 0.00172668 120.573
123.583
0.0664 126.713
128.583
0.1217 129.953
0.174 130.183
0.1667 129.673
127.763
0.0743 127.753
0.1061 127.233
0.1639 125.203
0.1745 123.303
0.0321 121.903
119.253
0.068 117.093
112.803
0.00193287 119.513
0.1434 124.403
0.1827 127.903
130.033
131.023
0.1314 131.013
129.633
126.863
0.0632 125.603
0.1954 125.343
123.453
0.0378 121.313
0.1008 120.553
0.1331 1

15.4
0.1141 0.00209405 121.617
0.1143 125.997
0.1747 129.117
0.1891 130.987
0.1123 131.467
0.0582 130.817
0.139 128.907
0.0468 125.867
0.0668 124.207
0.1647 123.807
122.397
1

19.7
0.1763 117.957
0.1604 0.00243851 127.404
0.1884 127.394
0.181 128.774
130.144
130.644
0.0357 130.114
128.334
127.054
126.534
0.0621 124.364
121.944
0.0816 120.534
116.724
0.1329 113.034
0.0737 110.364
0.0991 0.00294804 121.009
0.1866 125.809
128.829
0.1909 130.589
0.1947 130.829
0.0871 130.049
0.1031 128.139
0.1153 125.589
0.1607 122.919
0.1309 121.889
0.1927 121.499
0.1764 119.209
0.1993 116.659
112.589
108.649
0.1588 0.00401199 124.121
126.291
0.1401 128.971
131.281
0.0404 133.201
134.11
133.241
131.111
0.1039
0.0392 123.311
0.1664 121.431
0.0658 120.061
116.411
0.00433288 126.807
0.1413 129.367
131.807
0.1599 133.097
0.1921 132.127
0.0677 130.777
0.1042 130.567
0.1666 128.707
0.1698 124.077
0.0764 121.587
0.1416 118.757
0.1945 117.287
114.927
0.1978 0.00485029 125.347
0.1715 127.637
0.0693 129.937
0.1323 132.357
0.1683 132.757
0.0697 130.507
0.0729 127.117
0.1885 126.267
124.647
0.1991 120.497
0.1102 119.137
0.1714 117.137
0.1659 117.037
0.0425 116.677
0.00525474 125.741
0.1681 127.781
0.0474 129.68
0.0599 131.471
131.491
0.1616 128.241
123.991
0.1452 123.761
0.0426 122.771
0.1972 119.151
118.291
116.181
115.691
115.591
0.00752039 128.713
0.0485 130.123
0.1461 132.043
134.853
136.023
134.273
132.513
0.1045 130.89
128.643
0.1129 124.353
0.1795 116.783
0.0719 119.343
0.1892 118.343
116.603
0.1437 113.333
110.313
0.00909175 127.488
0.0413 130.558
132.118
132.658
0.1395 133.198
132.358
0.1931 128.338
0.1674 122.428
120.058
120.228
0.0654 117.478
111.818
0.1772
0.1514 113.288
0.0915 112.688
0.1584 111.588
110.868
0.1283 0.0193001 134.319
135.329
135.459
0.1758 135.07
131.279
129.889
0.1015 128.879
0.1426 126.349
122.679
0.1629 121.789
120.779
119.639
116.849
115.079
0.1544 114.569
112.039
0.1605 0.0208438 131.955
0.1029 133.23
0.1272 132.355
0.1247 131.605
0.1295 127.815
0.0594
0.1385 126.565
0.0769 124.665
0.0639 121.635
119.875
0.0447 119.505
0.0326 118.365
0.0408 115.085
0.1741 112.945
0.077 112.065
0.1551 110.555
0.0233328
0.1043 128.335
128.595
0.0608 128.345
126.835
0.0706 126.465
126.345
0.0924 123.835
120.555
0.1935 118.545
0.1908 117.925
116.295
113.525
0.1792 112.265
0.0513 111.135
109.885
0.0507 0.0252785 127.299
0.0911 128.559
0.1521 128.809
0.1962 127.179
126.049
0.1417 125.539
122.149
0.0993 118.619
117.11
0.1784 116.859
0.1358 114.729
0.0787 112.209
0.1944 111.459
0.0862 109.949
108.689
0.0777 0.0483159
0.0554 129.744
0.1226 128.484
0.1261 127.094
121.664
123.304
0.0556 123.054
120.154
0.1907
0.0647 117.504
115.234
113.334
0.1332 108.034
0.0578
0.1796 107.284
0.0584
0.0521 115.89
0.0616 116.02
0.1436 115.91
0.0913
0.1293 116.56
0.1582 114.67
0.0773
110.78
0.0751 109.52
0.0437 106.88
0.1598 106.26
0.1618 104.5
0.1084 104.13
103.38
0.1098 0.000740478 130.96
129.45
0.0573 128.56
0.0331
0.1726 131.06
0.0998 131.31
134.43
0.1172 133.04
0.0995
0.0883 128.74
0.0343 0.00076193 124.336
125.586
0.1408 127.076
0.0865 128.576
0.0756 131.456
0.1275 133.956
134.826
134.946
0.0731 134.556
0.1687 132.796
0.1155 130.156
0.0313 127.636
125.376
0.000791822 126.508
0.0486 127.638
0.1321 129.148
0.1068 130.908
132.918
134.938
0.0497 135.938
0.0937 135.308
0.1258 134.308
131.918
128.518
0.0957 125.998
123.988
0.1673 0.000812164
0.1823 126.78
0.1985 129.27
0.0429 133.01
0.1986 134.87
0.1035 135.49
0.1832
0.0762
0.1693
126.59
0.1128 122.45
119.07
0.1368 0.00142788 124.318
0.0511 129.848
131.978
0.1948 133.728
133.598
132.828
0.1957 129.308
125.268
0.1507 121.238
0.0631 117.328
0.0716 0.00152689 125.647
0.1889 128.427
0.1374 130.197
0.0763 132.587
133.847
0.1818 133.587
0.1573
0.1022 129.777
0.1101 125.717
0.1524 120.397
0.0779 116.967
0.1341 127.556
0.0698 129.946
132.086
0.0754 133.846
0.1743 134.476
0.1154 134.226
131.96
126.926
0.0972 121.146
0.1612 0.00544854 121.582
123.742
126.152
0.0809 128.562
0.0619 130.722
0.1228 132.252
0.1054 133.032
0.0652 133.042
131.542
0.0541 128.402
0.1953 122.612
0.1863 115.812
0.00566229 120.015
0.0905 122.905
126.045
128.435
0.0598 130.195
0.1471 131.205
130.965
0.1727 129.965
0.1243 127.465
123.965
118.955
0.00580776 120.076
0.1913 122.966
0.0718 125.856
128.246
0.1498 129.516
129.296
127.686
0.0789 125.576
122.086
0.1665 118.106
11.2 0.014072 125.941
127.101
128.381
129.281
130.311
0.0967 133.611
0.0847 136.031
0.1526 136.941
0.1137 136.191
135.191
0.0753 133.311
0.1157 130.541
0.1676 127.141
0.1671 122.471
0.0150478 125.01
126.43
0.0819 128.99
0.1502 130.67
0.1479
0.0673 133.13
0.1788 133.79
132.43
130.05
0.0356
0.1425 124.42
0.0975
0.1724 119.67
0.0323 115.52
0.0264269 123.595
0.1163 124.835
0.0569
126.805
0.1512 127.285
129.645
0.1002 131.515
0.1561 131.865
0.0401 130.845
0.1392 130.065
0.0431 129.285
0.0545 127.625
125.715
0.0482 122.675
0.0739
115.215
112.675
0.1399 0.0271925 122.94
0.0872 124.17
0.1223
0.0895
127.22
0.1369 129.33
0.0899
0.0888
127.04
0.1059
0.1911 120.92
0.1843
112.93
0.0282593 121.783
0.1951 122.893
124.493
0.1135 125.353
125.963
127.443
0.0515 128.423
127.893
126.743
0.0681 124.843
123.443
122.413
120.513
118.113
0.0679 114.453
109.663
0.0289853 119.975
121.225
0.1138 122.845
0.1982 123.705
0.0904 123.695
0.0547 124.685
0.0597 125.555
0.1946 124.525
0.1738 123.255
0.0946 121.485
0.1296 120.835
0.1961 119.945
118.045
0.0472 115.635
112.355
108.185
0.0334 0.0341183 118.005
119.115
121.235
0.0567 123.865
0.0393 126.995
0.0389 128.36
124.555
0.0572 121.885
0.1836
120.575
120.055
0.1837 118.385
0.0843 116.225
0.0703 113.045
0.036484 125.974
0.0935 127.224
0.1834 129.864
130.614
0.0947 120.324
0.0783 119.174
0.0449 118.904
118.634
0.1269 117.604
0.1919 117.724
0.1316 116.184
113.004
108.684
0.1356 0.000400682 133.707
137.007
138.557
136.837
134.987
129.867
0.0574 130.787
133.207
130.477
0.0346 123.217
0.00041229 127.623
0.1527 130.073
130.503
0.0355 133.223
0.0586 135.803
0.1965 136.103
0.1249 136.163
0.1853 134.563
0.1496 131.453
0.1737 125.683
121.93
0.0628 0.000428464 124.156
130.026
131.836
0.0564 133.276
0.0643 135.346
136.536
0.1692 136.826
0.0891 135.866
0.1403 133.376
129.116
0.0305 124.986
0.000439472 125.127
0.0746 127.947
0.1637 129.267
130.697
132.897
135.227
137.047
0.1488 138.607
0.0774 138.537
0.1484 137.207
134.227
128.977
125.627
0.000848633 128.398
0.1109 130.828
133.378
0.0494 134.928
135.468
134.498
131.518
127.398
0.0633 127.688
124.208
0.1609 119.708
0.000873218 121.474
125.054
129.144
0.1442 132.354
133.924
135.484
135.164
0.1845 132.184
0.1517 126.944
0.1171 125.094
124.394
121.284
0.0879 0.000907475 116.366
0.0532 118.696
120.766
122.956
125.026
0.1708 125.966
0.0555 128.916
131.236
133.436
0.0954 134.996
135.426
0.0735 134.336
131.346
126.066
0.000930789 116.128
120.078
122.648
125.348
0.1195 127.408
128.718
130.148
0.1041 132.588
134.268
135.328
0.1594 135.248
0.0308 132.898
127.008
0.00420654 125.726
0.0519 127.206
129.556
131.656
0.1872 133.756
134.976
135.956
136.166
134.236
131.186
0.0618 127.246
0.0043284 120.952
0.0509 123.082
0.0811 125.452
128.082
0.0825 130.332
132.202
133.062
134.052
0.1663 134.152
0.0403 133.252
131.582
0.0944 128.412
0.1803 124.222
0.00449821 116.074
0.1252 116.924
119.294
121.154
0.0927 123.894
0.1027 126.514
0.1749 129.014
0.1581 130.374
0.1556 130.964
131.184
0.0892 131.274
0.1656 131.234
0.1748 129.934
0.1791 127.864
125.044
0.1523
0.00461377 119.146
120.136
122.766
124.756
126.886
0.0759 129.006
130.746
0.0488 131.446
0.1881 131.036
0.0663 130.496
130.086
0.1736 128.536
126.736
0.1696 124.426
0.1655 120.726
0.1669 0.0121808 119.698
0.1627 122.938
0.0918 125.048
0.1753 126.898
0.1833 128.878
130.348
0.0353 131.698
133.048
134.528
134.228
0.1541 134.058
133.758
131.808
128.978
0.1242 125.398
120.538
114.418
0.1281 0.0130253 121.547
123.537
125.527
0.1583 127.127
0.1895 128.867
0.1539 130.217
130.94
0.1073 129.977
129.567
129.027
0.0736 127.847
0.1363 126.537
125.107
123.177
0.0635 120.607
116.017
0.1246 0.016104 112.506
113.796
115.846
117.396
119.806
122.606
124.276
0.1658 125.816
0.0839 126.356
126.406
0.1548 126.826
126.746
126.536
0.0481
0.1337 123.126
119.91
115.466
0.1812 0.0165706 109.951
0.1579 110.491
111.911
115.461
119.621
122.411
123.091
0.1859 126.001
129.301
126.471
125.261
124.931
0.1476 124.101
121.771
0.0689 118.941
114.861
0.0172206 114.044
114.714
0.0579 115.144
115.444
117.514
124.514
135.324
0.0648 138.274
131.364
127.614
126.644
124.154
0.0651 123.564
0.0962 122.724
119.854
0.0176631 116.146
116.956
118.416
0.0882
0.1388 127.676
0.1011 136.886
139.226
0.1699 131.796
128.306
0.0724 126.846
124.356
0.1284 124.166
123.466
0.0846 121.996
117.996
0.1936 0.0214178 115.857
117.927
117.967
120.657
0.1305 123.227
0.0411 134.247
140.987
131.817
127.197
0.0422 126.097
0.1053 124.127
123.917
0.1956 125.727
0.1549 123.127
121.657
0.1361 0.0229028 116.066
0.0671 117.386
120.716
123.416
0.1055 129.776
137.026
0.0771 137.076
128.416
126.446
122.216
121.256
0.1569 121.306
120.856
0.1353 119.646
0.0725 118.816
0.0478 0.00121072 124.155
0.1351 128.825
0.1813 130.335
131.725
0.0837 132.095
0.0475 132.595
130.935
0.1518 130.795
0.0778
125.465
123.305
119.375
0.0479 0.00131983 126.17
0.0919 127.92
0.0795
131.43
132.05
0.1575 132.54
0.0655 131.78
0.0629 127.73
124.45
0.1037
0.1901 0.00146332 125.401
0.1988 128.401
0.0467 130.781
132.271
133.261
133.251
132.611
130.961
127.801
126.021
125.631
0.0829 122.341
119.561
0.0417 0.00150092 126.413
0.1939 129.053
131.313
133.063
0.1454 133.553
133.153
0.1014 132.003
129.973
126.933
124.393
124.253
0.1716 120.193
0.1506 115.893
0.00202822 131.074
131.434
132.304
133.664
134.034
133.894
0.1179 132.114
0.1262 128.704
124.904
0.0333 121.234
0.0563 116.694
0.1094 0.002211 126.599
0.0613 129.119
131.129
0.1847 132.769
133.649
0.0726 132.889
130.629
127.229
0.1255 124.839
0.1776 123.839
0.1535 120.569
115.659
0.1672 0.00245138 127.251
129.991
0.0827 131.971
133.211
133.071
132.301
0.1301 130.791
0.1017
0.1481 124.881
122.371
120.851
0.1734 118.091
0.0824 115.321
0.0505 0.00251435 128.952
131.362
0.1712 133.012
0.0549 134.022
133.402
131.642
0.1465 130.392
128.252
0.1597 124.852
122.082
120.702
117.432
0.1251 0.00478288 131.448
134.478
0.1877 136.758
137.658
0.0552 136.678
0.1942 134.568
131.458
0.0463 124.458
0.0309 0.0052139 129.343
0.0963 133.023
135.953
137.233
0.0692 136.883
0.1169 133.653
129.653
124.273
0.00578076 128.295
0.0943 130.955
133.355
134.625
134.515
132.395
127.375
0.1381 122.235
0.00592927 126.266
0.1542 128.296
130.206
132.116
0.1642 132.886
131.636
129.256
0.1493 124.346
120.446
0.1294 0.0103088 133.503
0.1634 134.533
136.583
0.0757 138.123
0.1379 138.523
138.423
137.813
135.433
0.1633 132.793
128.763
0.0707 124.233
0.0832 123.623
0.1431 123.263
120.243
0.0469 116.723
117.253
0.0926 0.0124596 133.42
134.34
0.1855 135.38
0.1345 135.54
131.92
129.58
0.0836 127.71
123.82
119.04
0.1578 119.19
0.1702 119.35
0.1397
0.1793
113.11
0.0337792 130.588
131.568
137.068
139.428
0.1393 140.158
0.1631 135.368
127.318
0.0786 127.928
0.0304 126.648
0.1668 124.748
0.1191 122.218
0.0867 121.318
120.798
118.018
0.1336 116.108
113.958
0.0368233
0.1338 133.294
0.0855 135.674
136.414
133.774
124.244
0.1785 125.114
125.484
124.214
121.824
118.564
0.1707 117.054
116.914
0.0642 114.404
0.1572 112.014
110.124
0.0408268 128.545
0.0684 129.675
0.0797 129.415
0.1149 128.265
0.1457 122.205
0.1466 121.315
122.315
122.435
121.165
0.1319 117.875
114.085
0.1218 113.315
113.055
108.625
0.1883 107.985
0.0418756 124.987
0.1264 125.857
124.717
0.0442 123.207
118.667
119.287
0.1596 120.037
0.1825 119.777
118.767
114.477
0.1976 110.447
0.1537 110.317
110.307
108.407
0.0314 107.147
107.267
0.0437259 130.898
132.158
0.0627 133.808
0.1099 130.638
0.1789 122.288
0.1063 124.188
124.438
0.0324 123.178
121.528
119.888
118.998
0.1288 116.468
113.298
0.0528487 123.514
124.644
122.754
120.484
0.0543 115.304
118.084
118.964
119.224
118.214
114.554
0.1967 110.894
0.1187 110.264
109.254
0.1354 106.604
106.224
104.204

Independent t Test Data

88 88
81 76
80 96
89 79
89 90
61 87
88 89
56 80
74 85
86 88
69 86
50 83
72 93
65 77
79 92
65 75
75 87
54 88
70 81
71 82
79 85
53 86
80 75
64 90
58 79
80 76
80 89
50 95
61 79
61 85
74 83
75 83
54 78
71 90
66 89
57 92
83 86
68 80
77 97
54 89
80 84
62 86
70 80

70 81

82 87

50 83

65 79
76 85
64 77
55 83
61 86
91 85
68 91
70 88
50 85
64 91
73 82
73 84
72 82
78 84

70 81

76 84
Group A Prior Training Scores Group B Revised Training Scores

Paired Samples t Test Data

1 6 6
2 8 8
3 10 10
4 12 12
5 15 15
6 16 16
7 17 17
8 18 18
9 19 19
10 21 21
11 22 22
12 23 23
13 23 23
14 26 26
15 27 27
16 28 28
17 29 29
18 29 29
19 31 31
20 31 31
21 33 33
22 34 34
23 34 34
24 35 35
25 35 38
26 36 40
27 36 42
28 36 44
29 36 36
30 38 38
31 38 38
32 39 39
33 39 39
34 41 41
35 41 41
36 41 41
37 42 42
38 42 42
39 43 43
40 43 43
41 44 44
42 46 46
43 46 46
44 48 48
45 48 48
46 49 49
47 50 50
48 50 50
49 56 56
Employee Pre-Exposure μg/dL Post-Exposure μg/dL

ANOVA One-Way Data

11 10 4 5
8 12 3 6
6 13 5 5
8 11 6 6
9 7 5 4
10 8 8 6
10 11 6 6
12 9 7 5
8 7 5 5
9 8 9 5
9 10 7 6
11 9 6 6
4 9 7 5
5 6 6 4
3 8 6 5
5 8 5 4
13 10 12 3
12 9 10 7
11 9 11 7
14 8 12 8
Consulting Project Return on Investment (%)
A = Air B = Soil C = Water D = Training

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