applications of statistical methods assignment.

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É C O L E D E G E S T I O N T E L F E R S C H O O L O F M A N A G E M E N T

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ADM 2304 – ASSIGNMENT 2

Due date: Sunday, February 28 2021 at 11:30 pm (Brightspace).

Instructions:

• For each numerical question, you must first show your manual computations and then

use Minitab, MS Excel or any other statistical software to confirm your results. You
must paste your output onto your assignment to show your use of software; however,
this output does not replace any of the steps outlined below. This means that answers that
are exclusively software output will receive only partial marks.

• If you are performing a hypothesis test, make sure you state the hypotheses, the level of
significance, the rejection region, the test statistic (and/or p-value, if requested), your
decision (whether to reject or not to reject the null hypothesis), and a conclusion in
managerial terms that answers the question posed. These steps must be completed in
addition to any software output.

• The data for this homework assignment can be found in the files Assign2Data.mpx and
Assign2Data.xlsx.

• Your assignment must be typed and uploaded to Brightspace in one single pdf file.
You may upload several files, but only the most recent submission prior to the deadline will
be graded. You must start each question on a different page and answer the questions
in order. Students who fail to follow these instructions will be penalized with 10% of the
marks (for example, if the assignment is marked out of 50, the penalty will be 5 marks).

• Late submissions will be accepted according to the late submission policy discussed in class
and posted on Brightspace.

• Remember to include your integrity statement. Assignments submitted without a signed
integrity statement will not be graded.

2

Question 1 – House Prices in Halifax

Larger homes generally fetch a higher price than smaller homes. The dataset Halifax
includes information about a random sample of houses in Halifax. The sample includes 61
houses with one or two bedrooms and 37 houses with more than two bedrooms. The
variable Large (1=Yes; 0=No) indicates whether the house has more than two bedrooms. The
dataset also contains the Price ($) and Living Area (sq. ft.) for each listing. We are interested
in the price difference between larger and smaller homes.

a) Describe, in one short phrase each, the populations being examined.

b) Carry out a parametric hypothesis test to see whether there is a real difference in the
mean price of these two populations. Assume the two population variances are unequal
and use a 5% significance level.

c) Find the corresponding 95% confidence interval for the difference in mean house prices.

d) Describe in one sentence how the hypothesis test in part b) and the confidence interval

in part c) reflect the relationship between confidence intervals and hypothesis tests as
introduced in class.

Question 2 – Consumer Spending Patterns

You are on a financial planning team in charge of monitoring a high-spending segment of a
credit card. You know that customers tend to spend more during December before the
holidays, but you are not sure about the pattern of spending in the months after the holidays.
The dataset Consumer_Spending has the monthly credit card spending of 400 customers
during the months December, January, February and March, and the average across January
to March.

a) Carry out a hypothesis test to compare December’s spending with the average spending
over the three following months (variable JantoMarAvg) to confirm the belief that
customers spend more on average in December. Use a 5% level of significance.

b) Construct the corresponding one-sided 95% confidence interval to supplement the

hypothesis test you carried out in part a).

c) Does the confidence interval from part b) confirm your conclusion from part a)? Explain.

Question 3 – Employee Salaries

The human resources manager of a large company wants to compare the salaries of male
and female employees. To that end, the manager selected a random sample of 22 female and
17 male employees. The dataset Salaries contains information on the salaries (in dollars) of
these employees. Is the average salary the same for women and men?

3

a) Are the samples independent? What is the appropriate parametric test here? Draw the

histograms of salaries for male and female employees and comment on the justification
of using/not using a parametric test here to address the question of interest.

b) Regardless of you answer to part a), use an appropriate non-parametric test to compare
the average salary of women and men at 5% level of significance. Make sure you follow
all the steps for hypothesis testing indicated in the Instructions section and show your
computations.

Question 4 – Illegal Drug Use

Does self-reported illegal drug use vary by social class? To find out, a researcher questioned a
random sample of 80 provincial residents about their occupation, education, and income. She
then used this information to categorize residents as members of the upper, middle, working,
and lower classes. Using appropriate sampling techniques, she interviewed them to see if they
were using illegal drugs. Her results are as follows:

Upper class (24 total) 14 have said “Yes”
10 have said “No”

Middle class (18 total) 9 have said “Yes”

9 have said “No”

Working class (19 total) 8 have said “Yes”
11 have said “No”

Lower class (19 total) 6 have said “Yes”

13 have said “No”

a) Put the data into a two-way table with the drug use in the rows and the social classes in
the columns. The data in this table should be observed counts.

b) Create another table with the corresponding expected counts and having row totals,
column totals, and grand total. Round each cell value to two decimal places.

c) Perform a chi-square test to assess the association (or independence) between drug use

and social class at 5% level of significance. Verify the assumptions required for the chi-
square test of independence. Make sure you follow all the steps for hypothesis testing
indicated in the Instructions section and show your computations.

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0

0

0

0

0

0

,000

0

0

0

0

0

0

0

0

0

0

0

0

0 937

0

0

,000

0

425,000 0

0

0

0

0

0

0

0

0

0

464,900 0

0

7,900

0

0

0

0

499,900 0

0

0

0

0 1,057

0

0

0

0

0

274,900 1

1

299,900 1

1 1,600

1

1

1

1

1

1

1

1

1 1,230

1 1,600

1

1

1

1

1

1

1

1

799,900 1

1

1

1

995,000 1

1 4,000

1

1

1

1

1

1

1

1 5,200

1

Price	Large	Living Area
																																					1																																																																							0	515
167,510	518
	179,000		720
184,900	500
189,000	840
192,779	612
214,900		1,050
219,500	1,1	30
220,000	1,010
222,400	1,428
227,000	1,014
229,000
237,500	742
239,000	609
241,745	7	49
244,900	713
249,000	1,293
249,999	1,150
2	69	831
	274,900	1,105
289,900	550
292,000		1,057
299,000	880
	299,900	1,379
332,000		937
335,000	780
339,900	800
349,900	1,190
354,200	1,155
368,500	1,117
380,900
387,900	1,102
404,900	1,310
	4	25	781
1,400
429,900	1,032
430,000	1,154
440,500	1,316
448,900	1,390
449,900	1,000
450,500	1,092
451,900	1,304
459,000	1,313
	464,900	2,191
2,	181
469,900	1,038
	47	2,188
479,900	1,380
489,900	1,726
	499,900	1,670
1,085
535,000	1,952
539,900	1,370
575,000		1,230
585,000
699,900	1,296
799,000			1,600
	799,900	1,318
1,300,000	1,346
1,425,000	2,472
1,104
295,000	1,200
1,560
324,900
379,200	1,692
379,900	2,520
392,900	1,686
449,000	1,342
48	4,000	2,261
495,000	1,524
495,500	2,274
499,000	3,085
509,900
515,000
599,900	1,627
639,900	1,352
649,900	2,180
685,000	2,100
699,000	1,840
709,000	3,220
759,000	2,440
795,000	2,800
1,350
859,900	2,273
975,000	4,860
	995,000	2,347
3,580
999,900
999,999	3,307
1,180,000	4,357
1,395,000	4,724
1,399,000	3,218
1,575,000	1,911
1,579,750	3,617
1,599,000		5,200
1,895,000
2,490,000	5,025

Reproduction interdite © TC Média Livres Inc.

Consumer_Spending

4

33333333

8

2

33333333

.68

9.11

3

33333333

9.07

9.53

9

33333333

58.94

9

.64

0

66666667

25.39

3

5

9

94.95 94.95

5

9

61.98

23.9

23.9 23.9

30 -30

7

966666667

23.9

0

.49

0

201

33333333

533333333

5

48.88

1262

84.55

33333333

7

22.4

25.5

14.95

54.93

0

326.81

.2033333333

0

60.08

95.21

4

0

7.49 7.17

6.99 7.05

59.22

228

566.05

25

116.9

0

8

1.09

1.2

134

63.43 115.7

7.55

18.9 17.9

477.7

190.47

746.93

127.48

0 47.8

2

0

47

2

29.6

137.8

30.8

61.96

91.16

196

129

2.23

14.1

0

493

49

69

42.61 42.17

64.5

2.06

44.14

34.8

69.9

4

2.9

63.4

55.7 58.89

1003.83

8.21

200.4

98.3

181 385

84.22 87.99

531.99

632.3

752.96

58.67

9.79 9.59 8.73 8.41 8.91

December	January	February	March	JantoMarAvg
1060.17	1507.94	612.19	708.12	942.75
540.45	1175.93	1379.39	204.94	920.0866666667
1389.73	1207.43	5	44.14	603.4	784.99
40.41	-16.63	38.34	3	7.17	19.6266666667
6	18.9	489.48	357.62	286.52	377.8733333333
397.23	462.2	245.3	566.16	424.5533333333
271.46	181.45	156.53	147.7	161.8933333333
58.66	61.02	57.54	58.27		58.94
1	326.81	5	14.1	777.13	1332.7	874.67
10	2.9	377.83	213.86	656.92	416.2033333333
1945.47	1301.86	494.45	979.87	9	25.39
301.9	297.33	1137.06	252.85	562.4133333333
167.47	203.33	133.41	33.16	123.3
181.43	153.68	180.08	170.91	168.2233333333
291.66	1060.78	144.53	140.08	448.4633333333
	1262	1099.68	832.38	949.66	960.5733333333
169.7	110.53	144.17	2	60.08	171.5933333333
	196	372.26	350.39	337.38	353.3433333333
1820.27	502.53	8	29.6	184.09	505.4166666667
361.19	-4.52	533.54	47.34	192.12
1736.74	1717.86	1827.15		201	9.79	18	54.93
2497.54		129		228	2026.04	1871.5466666667
511.87	961.95		25.5	25.12	33	7.55
640.88	362.12	418.27	1607.39	795.9266666667
449.9	1619.74	381.67	2086.14	1362.5166666667
86.26	40.87	95.88	46.75	61.1666666667
16	7.05	91.9	66.9	46.9	68.5666666667
1012.28	530.41	153.02	1164.85	616.0933333333
100	2.23	369.3	1331.11	896.5	865.6366666667
674.2	124.53	784.63	238.67	382.61
410.52	99.88	100.98	86.6
1395.89	504.4	457.29	1540.75	834.1466666667
234.16	244.62	291.34	659.78	398.58
254	74.58	5.87	80.57	53.6733333333
825.68	6				23.9		477.7	836.94	646.21
130.11		134	124.93	121.63	127.0666666667
846.06	8	14.95	2068.08	1624.27	1502.4333333333
67.29	90.83	770.1	286.9766666667
744.25	828.46	854.07		1003.83	895.4533333333
409.66	1844.75	1199.13	1342.08	14	61.98
1283.53	721.57	759.69	654.53	711.93
24.83	22.01	75.22	40.6866666667
205.68	176.66	118	171.15	155.27
1433.45	470.18	2259.51	2252.85	1660.8466666667
1149.77	1195.65	6	55.7	609.55	820.3
1997.98	17		63.4	622.19	1436.86	1274.16
67.14		42.61	55.75	45.86	48.0733333333
83.71	87.37	81.79	79.69	82.95
173	1.09	1744.25	1109.88	1304.83	1386.32
2114.84	842.59	303.11	134.94	426.88
147.21	463.33	11	9.59	412.46	331.7933333333
694.26	1445.31	945.73	1229.9	1206.98
284.66	285.21	1282.59	1500	1022.6
1039.27	288.51	1962.19	834.26	1028.32
89.57	1355.97	97.63	109.9	521.1666666667
930.94	1	566.05	1035.52	643.36	1081.6433333333
16.14	16.35	15.08	14.31	15.2466666667
-155.13	-10.35	743.94		116.9	283.5133333333
245.03	95.79	1147	96.96	446.5833333333
1813.25	1018.47	368.42	610.69	665.86
31.65	860.63	842.48	124.17	609.0933333333
1024.63	1186.9	375.44	181.53	58	1.2
		94.95	1	64.5	118.15
324.38	108.64	1071.43	1012.12	730.73
1438.59	135.95	295.49	587.78	339.74
292.19	361.93	1	30.8	141.26	211.36
1026.11	1207.36	122.09	146.17	491.8733333333
62.26	56.98	53.93	57.7233333333
2087.88	2434.3	1779.63	608.27	1607.4
463.51	-43.56	294.27	291.83	180.8466666667
1039.52	180.75	117.62	27.44	108.6033333333
52.11	1642.76	1744.93		-30	1119.23
847.44	929.06	491.29	1007.54	809.2966666667
63.9	37.2333333333
519.08	42.79	198.71	91.23	110.91
172.52	445.99	2352.46	156.92	985.1233333333
37.6	24.59	-26.93	28.33	8.6633333333
4	7.49		48.88	16.2933333333
283.76	143.64	957.4	141.05	414.03
600.09	923.79	476.9	6	98.3	699.6866666667
111.53	120.16	110.73	103.43	111.44
23.2	23.32	20.9	23.27		22.4
1374.54	623.08	589.36	1205.99	806.1433333333
1189.66	480.7	1261.28	1403.48	1048.4866666667
188.74	318.84	439.78	2274.34	1010.9866666667
269.31	1768.58	565.9	786.1266666667
2152.93	496.92	1	493	663.47
1566.93	2231.64	2298.44	945.16	1825.08
1700.44	586.86	46.94	201.09	278.2966666667
2069.11	603.11	1045.66	870.78	839.85
95.1	246.7	91.41	87.54	141.8833333333
13	42.17	579.59	154.24	244.61
233.63	252.62	232.99	146.74	210.7833333333
1646.6	847.97	1264.41	2300.47	1470.95
1272.52	8	95.21	317.81	1885.95	1032.99
970.11	603.65	923.51	2281.84	1269.6666666667
213.9	222.47	206.93	210.1333333333
	531.99	325.9	665.18	498.77	496.6166666667
187.57	233.11	201.4	418.16	2	84.22
473.2	728.84	1043.72	771	8	47.8
1642.67	1360.17	1	137.8	647.21	104	8.41
1240.19	757.63	559.88	1336.14	8	84.55
185	8.73	1878.72	1598.73	2309.65	1929.0333333333
914.32	68.79	353.98	401.21	274.66
481.92	1080.24	1216.29	781.8033333333
1581.73	844.67	1097.37	1300.48	1080.84
144.34	153.56		127.48
218.44	34.68	131.58	33.55	66.6033333333
452.37	465.67	570.06	484.43	506.72
1	69.9	67.16	218.38	95.61	127.05
1084.08	38.05	88.77	403.6333333333
603.07	996.31	275	907.55	726.2866666667
823.96	1264.82	1812.12	1267.58	1448.1733333333
2244.01	1474.58	2040.75	1501.5	1672.2766666667
859.37	1689.97	1250	1282.36	1407.4433333333
1916.36	757.68	1776.98	859.14	1131.2666666667
1326.89	1674.02	1188.68	556.36	1139.6866666667
25.69	58.98	-60.8	7.9566666667
103.1	157.31	133.94	413.1	234.7833333333
850.69	406.87	588.09	300.15	431.7033333333
1320.95	275.96	127.93	187.54	197.1433333333
1131.93	1737.3	1402.43	2076.97	1738.9
260.29	143.87	606.31	513.12	421.1
624.4	123.77	396.97	178.5633333333
496.87	63.1		59.22	110.07	77.4633333333
1598.34	355.43	966.37	594.07	638.6233333333
632.29	763.9	137.72	353.15	418.2566666667
833.38	787.76	454.69	547.73	596.7266666667
1473.46	824.55	1744.79	1289.69	1286.3433333333
1127.41	1364.71	500.65	835.67	900.3433333333
1292.5	924.67	1389.44	506.31	940.14
549.07	1198.4	528.86	140.48	622.58
1774.99	734.15	1139.16	1747.38	1206.8966666667
939.47	952.82	299.21	1211.53	821.1866666667
2349.72	1605.99	2265.64	1272.11	1714.58
2383.67	6	58.67	500.94	818.1	659.2366666667
14.99	24.95	13.3133333333
771.5	1564.01	2202.85	2234.9	2000.5866666667
1319.83	275.63	553.17		385
997.32	47.94	32.54	1077.03	385.8366666667
91.32	58.76	69.8	73.2933333333
27.07	62.72	26.08	49.6266666667
529.51	654.23	535.74	261.33	483.7666666667
45.44	45.89	102.58	44.49	64.32
318.14	237.74	17.67	28.26	94.5566666667
1209.72	927.8	749.07	1176.86	951.2433333333
795.38	665.34	241.57	354.97	420.6266666667
133.13	136.68	92.08	107.99
14.29	1	17.9	439.64	-69.99	162.53
103.15	107.32	99.81	228.84	145.3233333333
498.63	685.33	311.12	522.77	506.4066666667
623.48	1089.92	658.05	464.72	737.5633333333
243.65	310.44	173.67	161.37
1913.43	1143.3	1471.88	1246.95	1287.3766666667
198.28	206.74	205.96	1	87.99	200.23
	6.99
691.29	83.38	949.26	363.9533333333
159.87	203.98	156.6	720.15	360.2433333333
1887.49	206.24	763.89	1762.35	910.8266666667
90.47	412.54	237.46	137.32	262.44
1361.82	274.04	347.91	661.2566666667
702.69	885.81	44.59	864.47	598.29
1717.26	1539.84	1055.16	1753.9	1449.6333333333
893.53	975.28	938.06	826.4633333333
1310.09	354.2	440.19	1329.62	708.0033333333
859.34	930.52	66.21	1365.16	787.2966666667
-135	445.23	65.35	178.5266666667
721.46	444.63	393.42	1658.44	832.1633333333
129.37	697.8	766.1	301.22	588.3733333333
47.98	715.74	65.69	670.32	483.9166666667
82.92	1898.51	923.89	667.94	1163.4466666667
754.31	919.59	1173.67	937.95	1010.4033333333
143.86	186.71	105.17	136.84	142.9066666667
875.28	450.67	683.67	583.51	572.6166666667
1367.05	1380.03	614.77	1367.94	1120.9133333333
504.27	210.12	554.85	492.03	419
1056.47	1439.46	703.82	1046.85	1063.3766666667
510.37	470.55	526.32	464.98	487.2833333333
737.06	175.42	404.53	480.59	353.5133333333
1094.77	164.76	305.47	224.49	231.5733333333
350.74	149.19	219.43	364.02	244.2133333333
885.49	80.41	622.38	2451.13	1051.3066666667
1950.72	709.92	545.79	974.12	743.2766666667
330.14	319.45	390.14		746.93	485.5066666667
1744.91	108.81	330.62	185.4433333333
873.55	364.58	488.1	1048.7	633.7933333333
93.41	83.84	764.45	313.9
469.29	379.75	510.39	407.1	432.4133333333
145.52	146.84	233.97	17.31	132.7066666667
1675.88	617.55	871.09	1310.83	933.1566666667
1247.22	995.64		115.7	33.53	381.65
144.12	162.03	153.54	151.43	155.6666666667
89.64	190.24	163.98	143.37	165.8633333333
1320.28	2347.65	125.83	416.68	963.3866666667
506.56	344.52	993.49	521.69	619.9
361.77	405.1	316.02	485.79	402.3033333333
1013.8	1571.94	1367.36	1378.96	1439.42
492.87	704.26	6	61.96	701.44	689.22
638.45	352.33	499.7	114.71	322.2466666667
799.95	80.18	213.75	-85	69.6433333333
954.67	1024.13	429.18	658.19	703.8333333333
1297.62	74.97	838.49	446.35	453.27
6.65	238.87	1126.25	126.07	497.0633333333
1009.45	1229.54	1175.02	906.47	1103.6766666667
15.89	16.37	11.1533333333
139.88	130.61	446.55	239.0133333333
1370.91	389.37	216.65	48.65	218.2233333333
840.64	927.58	128.7	170.67	408.9833333333
259.18	128.63	101.03	273.38	167.68
134.75	141.25	130.57	163.19	145.0033333333
651.69	1172.17	1225.08	919.96	1105.7366666667
1961.27	957.66	999.37	1084.59	1013.8733333333
1065.91	309.24	132.23	301.12	247.53
281.96	138.08	587.5	476.61	400.73
136.97	143.05	134.98	132.87	136.9666666667
675.11	366.79	125.67	75.69	189.3833333333
153.89	885.71		190.47	221.11	432.43
1354.32	815.1	1149.08	700.13	888.1033333333
172.76	182.14	172.22	1430.13	594.83
1545.32	1794.25	326.17	698.78	939.7333333333
1881.04	596.46	899.13	1739.42	1078.3366666667
138.93	115.02	123.2166666667
664.77	632.82	682.65	1147.6	821.0233333333
156.17	550.87	28.71	195.71
177.15	184.72	179.62	178.41	180.9166666667
549.58	632.59	1024.92	2497.49	1385
627.8	987.26	757.5	1031.38	925.38
	752.96	727.73	944.12	645.86	772.57
181.98	1575.88	537.56
316.63	196.58	196.33	192.63	195.18
94.69	144.27	101.02	105.01	116.7666666667
1019.62	909.27	1337.58	1093.6	1113.4833333333
930.36	932.16	665.21	1111.45	902.94
762.5	987.89	704.52	1008.16	900.19
1672.17	1245.06	891.07	1909.33	1348.4866666667
579.28	747.04	388.55	571.6233333333
417.49	636.92	839.08	1088.41	854.8033333333
132.86	207.81	102.86	260.74
923.39	990.49	253.03	663.4833333333
435.2	664.56	434.5	488.3	529.12
235.34	158.52	260.24	182.08
69.35	1560.33	40.93	1318.31	973.19
35.56	1	58.89	68.8966666667
16.86	18.09	13.88	467.39	166.4533333333
282.97	686.78	352.59	665.05	568.14
12.62	12.93	49.88	23.33	28.7133333333
85.37	552.28	954.59	82.17	529.68
189.87	128.82	777.71	122.3	342.9433333333
802.1	650.13	731.32	1951.91	1111.12
433.62	172.19	187.91	119.34	159.8133333333
1067.51	408.36	443.62	449.42	433.8
411.73	593.36	502.05	388.68	494.6966666667
1204.31	1577.13	1013.81	840.91	1143.95
524.44	530.93		200.4	243.7833333333
907.74	274.8	188.55	203.94	222.43
60.27	95.03	142.33	117.56	118.3066666667
261.39	270.75	251.03	244.42	255.4
445.55	894.48	1082.96	376.99	784.81
616.37	517.8	758.92	654.29	643.67
50.97	50.59	43.93	47.1733333333
320.97	1047.9	187.12	1348.96	861.3266666667
	34.8	172.35	38.57	41.65	84.19
354.02	223.97	200.85	223.36	216.06
60.41	31.62	29.2	27.98
1711.06	1200.39	497.69	143.18	613.7533333333
656.81	107.62	95.62	113.68
2262.18	171.34	420.22	293.85	295.1366666667
460.35	14.44	13.53	12.72	13.5633333333
30.53	28.36	40.3733333333
1723.26	1999.97	1246.23	2138.62	1794.94
	91.16	86.39	47.55	75.0333333333
1697.58	916.34	562.26	673.45	717.35
182.82	102.37	247.36	129.27	159.6666666667
328.79	148.76	80.65	362.43	197.28
96.51	6	2.06	95.8566666667
44.37	160.28	105.58	89.3633333333
84.89	144.99	164.59	1805.01	704.8633333333
997.7	335.68	1825.43	1201.05	1120.72
57.76	276.74	574.07	135.75	328.8533333333
388.23	42.13	486.95	486.98	338.6866666667
1448.32	1262.2	1087.06	1482.58	1277.28
1577.98	371.23	148.12	2300.03	939.7933333333
16.94	52.04	15.73	65.4	44.39
485.54	247.1	726.86	620.25	531.4033333333
1305.1	486.32	674.74	450.25	537.1033333333
30.2	30.59	26.94	24.22	27.25
1782.42	556.93	696.22	693.8	648.9833333333
975.09	884.25	812.6	393.65	696.8333333333
1482.16	1235.55	875.05	-78.05	677.5166666667
2098.35	-29.78	2407.01	670.24	1015.8233333333
470.23	361.63	212.82	572.58	382.3433333333
1349.99	1088.9	695.27	639.19	807.7866666667
13.47	13.95	68.29	32.1133333333
987.77	982.43	902.87	102.61	662.6366666667
908.85	115.33	548.39	72	8.91	464.21
10.05	23.11	43.4	48.23	38.2466666667
337.66	99.39	343.39	147.5933333333
81.55	86.88	79.73	154.25	106.9533333333
100.52	56.15	830.71	680.85	522.57
179.34	191.47	770.04	184.97	382.16
131.14	98.09	90.93	87.62	92.2133333333
-4.01	223.12	113.15	91.02	142.43
1132.06	1061.64	556.99	816.01	811.5466666667
119.03	1539.39	-214.27	606.04
829.83	339.5	286.13	-29.61	198.6733333333
792.85	23.84	871.48	804.92	566.7466666667
26.6	281.36	121.24	87.95	163.5166666667
127.6	167.03	162.43	162.8	164.0866666667
1403.06	459.08	358.74	516.04	444.62
67.77	143.09	183.66	522.96	283.2366666667
1387.19	1329.39	1942.3	980.45	1417.38
1625.45	581.49	1059.93	894.68	845.3666666667
2288.98	2062.29	2359.17	1623.95	2015.1366666667
161.78	274.57	658.27	1047.11	659.9833333333
444.74	307.32	1555.2	112.11	65	8.21
186.75	200.75	185.36	1724.51	703.54
479.14	430.04	189.13	222.7233333333
281.17	192.74	509.71	177.6	293.35
802.69	433.82	927.03	2204.84	1188.5633333333
295.92	939.22	1003.55	2033.55	1325.44
1543.24	1071.77	125.2	518.03	571.6666666667
108.51	114.24	107.58	105.99	109.27
1799.28	112.31	104.4	338.18	184.9633333333
99.87	133.74	37.13	36.13
38.78	36.57	39.1733333333
333.24	679.53	580.68	495.5	585.2366666667
31.02	80.99	223.5	122.9966666667
137.43	237.49	484.8	448.88	390.39
479.59	885.89	715.12	545.06	715.3566666667
771.29	23.94	262.33	96.11
60.69	22.83	367.75	144.9066666667
1571.66	860.92	868.89	1856.84	1195.55
1067.12	353.13	722.21	1930.76	1002.0333333333
63.72	1142.53	77.48	949.62	723.21
1217.05	448.52	530.43	831.02	603.3233333333
1908.6	391.79	103.51	280.63	258.6433333333
114.05	116.37	78.99	77.99	91.1166666667
497.56	334.8	206.07	278.18	273.0166666667
45.39	157.8	467.55	78.63	234.66
1023.17	1380.07	420.34	611.7366666667
1467.4	765.94	798.27	2148.91	1237.7066666667
87.83	85.64	76.56	77.3666666667
1301.73	960.77	994.77	934.32	963.2866666667
1136.31	437.64	335.38	247.99	340.3366666667
1081.19	272.95	2068.57	985.51	1109.01
483.14	918.78	201.18	199.02	439.66
1318.7	406.42	202.35	312.58	307.1166666667
661.46	89.88	132.19		632.3	284.8033333333
1052.18	593.85	1470.85	544.56	869.7533333333
21.33	21.54	260.72	20.96	101.0733333333
486.21	182.11	428.25	289.77	300.0433333333
55.07	117.81	50.61	474.71	214.3766666667
718.75	1418.82	1711.65	618.58	1249.6833333333
156.78	96.37	1780.65	626.64
687.86	859.55	852.81	1296.22	1002.86
325.37	934.9	821.58	499.42	751.9666666667
243.13	251.98	280.22	273.19	268.4633333333
1044.33	761.2	1471.33	926.28	1052.9366666667
2264.54	178.77	423.37	1665.62	755.92
863.74	705.04	541.82	1074.62	773.8266666667
787.39	518.75	502.03	508.59	509.79
-24.29	57.57
1383.94	1872.46	522.93	1133.0733333333
342.57	395.28	194.64	316.52	302.1466666667
273.07	357.08	-123.29	24.48	86.09
553.03	1248.17	503.21	940.45	897.2766666667
147.45	12.68	10.11	10.3333333333
823.21	351.4	1332.48	921.32	868.4
100.04	145.56	270.63	286.16	234.1166666667
921.6	756.4	1087.89	889.72	911.3366666667
646.32	202.72	238.5	159.98
96.64	116.07	153.1	209.99	159.72
1312.1	447.85	595.38	1781.26	941.4966666667
677.06	215.55	1548.34	2355.04	1372.9766666667
135.73	105.65	95.25	99.7333333333
472.89	403.56	935.51	1056.62	798.5633333333
886.37	627.19	860.2	712.55	733.3133333333
216.71	155.65	240.55
1274.12	319.35	532.64	353.69	401.8933333333
1054.01	193.5	192.84	468.56	284.9666666667
2400.03	1018.38	1227.47	822.18	1022.6766666667
82.29	80.47	83.5833333333
773.56	1056.37	21.25	878.16	651.9266666667
157.06	1145.45	1086.51	921.3166666667
941.11	823.48	2445.65	1086.81	1451.98
973.86	1166.99	937.36	912.2166666667
183.61	118.69	202.26	357.97
581.16	965.83	797.58	1233.63	999.0133333333
2286.98	989.5	1707.85	153.9	950.4166666667
1205.67	430.86	1192.52	1389.39	1004.2566666667
72.82	69.36	50.48	59.5033333333
1645.51	1502.6	685.74	807.14	998.4933333333
210.14	250.44	451.43	412.59	371.4866666667
2067.35	1848.31	345.35	765.96	986.54
1258.44	780.43	640.36	1397.97	939.5866666667
2390.56	320.82	354.44	1078.23	584.4966666667
434.96	225.45	209.57	202.58	212.5333333333
1279.92	1182.38	1437.42	1577.58	1399.1266666667
1891.45	2206.5	758.2	473.09	1145.93

Salaries

180000

75000

180000

24000 180000
84000

33000 66000
180000 180000
75000

51000
15000 180000

66000

33000

51000
27000

12000

Salary_Female	Salary_Male
						180000			75000
		33000
54000
		66000
	15000	69000
108000
117000
21000	45000
	24000	105000
		51000	48000
111000		84000
	12000
	27000
87000