Use the technique of Logistic regression to predict the probability of complete on basis of age and sex. The SPSS output is given below.

Case Processing Summary
Unweighted Casesa / N / Percent
Selected Cases / Included in Analysis / 50 / 100.0
Missing Cases / 0 / .0
Total / 50 / 100.0
Unselected Cases / 0 / .0
Total / 50 / 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value / Internal Value
1.00 / 0
2.00 / 1
Classification Tablea,b
Observed / Predicted
Complete / Percentage Correct
1.00 / 2.00
Step 0 / Complete / 1.00 / 34 / 0 / 100.0
2.00 / 16 / 0 / .0
Overall Percentage / 68.0
a. Constant is included in the model.
b. The cut value is .500
Variables in the Equation
B / S.E. / Wald / df / Sig. / Exp(B)
Step 0 / Constant / -.754 / .303 / 6.182 / 1 / .013 / .471
Variables not in the Equation
Score / df / Sig.
Step 0 / Variables / Age / 1.345 / 1 / .246
female / 29.363 / 1 / .000
Overall Statistics / 29.493 / 2 / .000
Omnibus Tests of Model Coefficients
Chi-square / df / Sig.
Step 1 / Step / 30.599 / 2 / .000
Block / 30.599 / 2 / .000
Model / 30.599 / 2 / .000
Model Summary
Step / -2 Log likelihood / Cox & Snell R Square / Nagelkerke R Square
1 / 32.088a / .458 / .641
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001.
Classification Tablea
Observed / Predicted
Complete / Percentage Correct
1.00 / 2.00
Step 1 / Complete / 1.00 / 33 / 1 / 97.1
2.00 / 4 / 12 / 75.0
Overall Percentage / 90.0
a. The cut value is .500
Variables in the Equation
B / S.E. / Wald / df / Sig. / Exp(B)
Step 1a / Age / -.233 / .421 / .306 / 1 / .580 / .792
female / -4.819 / 1.271 / 14.380 / 1 / .000 / .008
Constant / 6.413 / 7.214 / .790 / 1 / .374 / 609.758
a. Variable(s) entered on step 1: Age, female.

The Logistic regression equation is given by:

With a unit grease in age there is 23% decrease in the probability of completion.For females there is 4.8 odds less completionas compared to that of males.

Consider the null hypothesis at coefficient of age is not significant. This is tested against and alternative hypothesis that coefficient of age is significant.With Wald equal to 0.3and p-value being greater than 5% I fail to reject null hypothesis.There is no sufficient evidence to conclude that efficient of age is significant.

Consider the null hypothesis at coefficient of female is not significant. This is tested against and alternative hypothesis that coefficient of female is significant. With Wald equal to 14.380and p-value being less than 5% I fail to reject null hypothesis.There is sufficient evidence to conclude that efficient of female is significant.

From the classification table I observe that overall correct percentage is 90%

I use paired t-test to test the significant difference in the mean scores between pretest taken at intake and post test administered at the final session.The SPSS output is given below.

Paired Samples Statistics
Mean / N / Std. Deviation / Std. Error Mean
Pair 1 / CDTPre / 33.9706 / 34 / 16.82258 / 2.88505
CDTPost / 58.2353 / 34 / 24.67616 / 4.23193
Pair 2 / PCSPre / 17.8529 / 34 / 6.72459 / 1.15326
PCSPost / 26.0882 / 34 / 8.04294 / 1.37935
Pair 3 / TPSSPre / 15.5882 / 34 / 3.86999 / .66370
TPSSPost / 14.8824 / 34 / 3.78005 / .64827
Paired Samples Correlations
N / Correlation / Sig.
Pair 1 / CDTPreCDTPost / 34 / .510 / .002
Pair 2 / PCSPrePCSPost / 34 / .478 / .004
Pair 3 / TPSSPreTPSSPost / 34 / .680 / .000
Paired Samples Test
Paired Differences / t / df / Sig. (2-tailed)
Mean / Std. Deviation / Std. Error Mean / 95% Confidence Interval of the Difference
Lower / Upper
Pair 1 / CDTPre - CDTPost / -24.26471 / 21.64214 / 3.71160 / -31.81601 / -16.71341 / -6.538 / 33 / .000
Pair 2 / PCSPre - PCSPost / -8.23529 / 7.62793 / 1.30818 / -10.89681 / -5.57378 / -6.295 / 33 / .000
Pair 3 / TPSSPre - TPSSPost / .70588 / 3.06030 / .52484 / -.36191 / 1.77367 / 1.345 / 33 / .188

Consider the null hypothesis that there is no significant difference in the mean score between pretest taken at intake (CDT PRE-TEST) and post test administered at the final session (CDT POST-TEST). This is tested against an alternative hypothesis thatthere is significant difference in the mean score between pretest taken at intake (CDT PRE-TEST) and post test administered at the final session (CDT POST-TEST).

With the value of statistics being equal to -6.538and the corresponding value being less than 5%, I reject the null hypothesis at 5% level of significance. When there is sufficient evidence support the claimthatthere is significant difference in the mean score between pretest taken at intake (CDT PRE-TEST) and post test administered at the final session (CDT POST-TEST).

Consider the null hypothesis that there is no significant difference in the mean score between pretest taken at intake (PCS PRE-TEST) and post test administered at the final session (PCS POST-TEST). This is tested against an alternative hypothesis thatthere is significant difference in the mean score between pretest taken at intake (PCS PRE-TEST) and post test administered at the final session (PCS POST-TEST).

With the value of statistics being equal to -6.538and the corresponding value being less than 5%, I reject the null hypothesis at 5% level of significance. When there is sufficient evidence support the claimthatthere is significant difference in the mean score between pretest taken at intake (PCS PRE-TEST) and post test administered at the final session (PCS POST-TEST).

Consider the null hypothesis that there is no significant difference in the mean score between pretest taken at intake (TPSS PRE-TEST) and post test administered at the final session (TPSS POST-TEST). This is tested against an alternative hypothesis thatthere is significant difference in the mean score between pretest taken at intake (TPSS PRE-TEST) and post test administered at the final session (TPSS POST-TEST).

With the value of statistics being equal to -6.538and the corresponding value being less than 5%, I reject the null hypothesis at 5% level of significance. When there is sufficient evidence support the claimthatthere is significant difference in the mean score between pretest taken at intake (TPSS PRE-TEST) and post test administered at the final session (TPSS POST-TEST).