A class has 200 students. 100 of the students (Group 1) each obtain a random sample of 100 subjects, randomly allocate 50 subjects to receive intervention A and the remaining 50 to receive intervention B, and record each subject's level of satisfaction with the intervention on a quantitative scale from 0 to 100. The other 100 students (Group 2) each obtain a random sample of 200 subjects, randomly allocate 100 subjects to receive intervention A and the remaining 100 to receive intervention B, and record each subject's level of satisfaction with the intervention on a quantitative scale from 0 to 100. Each student then uses SPSS Independent-Samples T Test to compare the mean levels of satisfaction for the two intervention groups. If the true difference in mean level of satisfaction is 10 (with intervention A having the higher level of satisfaction), then the number of students expected to obtain a 95% confidence interval for the difference in means that included the value 0 is
a) The same for Group 1 and Group 2
b) Higher for Group 1 than Group 2
c) Impossible to know without doing a power calculation
d) Higher for Group 2 than Group 1