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The answer should have the following: - State the interest of the question - Define the variables e.g. students stress scores (STRESS) were - Describe

The answer should have the following:

- State the interest of the question - Define the variables e.g. students stress scores (STRESS) were - Describe the groups (range of scores & number in each, M & SD if applicable) - Name the test used - Report the statistical result (2 decimal places, APA formatted- symbols in italics!). Frequencies are reported in whole numbers. - Concluding/summarizing statement- interpret the results in words. What does it mean

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1. Determine whether students who would not take PSYC3015 if it were not a required course at time 2 (COURSE2: 1= No, 2 = Yes) differ significantly in their self-efficacy at time 2 (SETIME2) in comparison to those who would take PSYC3015 if it were not a required course. Include in your report the 95% confidence interval, power and the effect size. ROUTPUT for ASSIGMENT 2 Q1 > descriptive.table (vars = d (SETIME2), data= ASS2_12, + func.names =C ("Mean", "St. Deviation", "Valid N", "Minimum", "Maximum")) Descriptive Statistics Mea n St. Deviation Valid N Minimum Maximum SETIME2 36.57 8.79 117 15.00 54.00 > frequencies (ASS2_12[C("COURSE2")] , r. digits = 1) Frequencies Frequencies ( COURSE2) #of Value Cases % Cumulative % 1 No 85 72.60 72.60 2 Yes 32 27.40 100.00 Case Summary ( COURSE2) Valid Missing Total % Missing 1 117.000.00 117.000.00 > descriptive.table (vars = d (SETIME2), + strata = d (COURSE2), data= Ass2_12, + func.names =c("Mean", "St. Deviation","Valid N", "Minimum", "Maximum")) Descriptive Statistics Variable: SETIME2 Mea COURSE2 St. Deviation Valid N Minimum Maximum 1 No 34.19 8.36 85 15.00 53.00 2 Yes 42.91 6.53 32 28.00 54.00 n > leveneTest (ASS2_12$SETIME2, ASS2_12$COURSE2, center=median) Levene's Test for Homogeneity of Variance (center = median) DE F value Pr (>F) group 1 2.9158 0.09041 . 115 Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ! 1 COURSE2, > print (two. sample.test (formulard (SETIME2) + data=ASS2_12, + test-t.test, + var.equal=TRUE, + alternative="two.sided") +) Comparison of Two Independent Samples Method: Two Sample t-test Factor: COURSE2 (No vs. Yes ) mean of mean of 95% CI No Yes Difference Lower SETIME2 34.19 42.91 -8.72 -11.97 Notes: HA: two sided HO: difference in means=0 95% CI Upper -5.47 t P- value 115.00

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