Statastics (psychology)

(Mental Health)The efficacy of two kinds of cognitive-behavioral therapy (CBT) in relation to a clinical population werecompared. The therapies differed on the dimension of how wedded they were to the rational-emotivebehavioral therapy (REBT), a subtype of CBT that emphasizes a directive, confrontational approach toencourage a patient to recognize the irrationality of specific thought patterns. Forty adolescents at aninpatient clinic for treatment of self-destructive behaviors were randomly divided into two groups ofequal size, one of which received the less challenging type of CBT (Treatment A) and one of whichreceived the more challenging kind of CBT (Treatment B). All patients were treated by trained therapistsin one-on-one sessions for 1.5 hours per day (broken down into 45-minute sessions) for six weeks. Allparticipants were apprised that they were part of a study, all participants signed consent forms, and allwere told they would be informed of the results at its conclusion; participants exhibiting any behaviorsthat required critical intervention were promptly treated outside the plan of the study. Outcome dataon the Revised Behavior Problem Checklist (RBPC)-PAR Edition* collected at the conclusion of six weeksas shown below (also found in the Data Set Scenario 3 Excel file).Treatment A Treatment B74                              8050                              8270                              4960                              4430                              6037                              6534                              7740                              4539                               5170                               7019                               5343                               1625                               3815                               4420                              2955                              5148                              5442                              4660                              1827                               61II. Data AnalysisA. Identify the sample size and explain how it will inform your analysis. In other words, what is the sample size? How will the size of the sampleinform your analysis?B. Select what statistical procedures should be implemented in your analysis, and justify why you feel these are appropriate.C. Explain how statistical procedures can help you determine whether the data is attributable to chance factors.D. Compute the mean and the standard deviation for each set of data using appropriate abbreviations and terminology.E. Prepare an appropriately labeled histogram for each set of data.F. Evaluate the shape of each distribution using your created histograms. In other words, what does the shape of each distribution tell us about thedata?