This document summarizes the results of a repeated-measures study that examined the effect of a treatment on a group of 9 participants by measuring them before and after receiving the treatment. It calculates difference scores, mean difference, sum of squares, sample variance, standard error, and t-statistic to test whether there is a significant difference between the measurements before and after treatment using a two-tailed t-test at an alpha level of 0.05. Based on the t-critical and t values, it determines whether to reject or fail to reject the null hypothesis that the treatment does not have a significant effect.
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
The following data are from a repeatedmeasures study examin.pdf
1. The following data are from a repeated-measures study examining the effect of a treatment by
measuring a group of n = 9 participants before and after they receive the treatment. Calculate the
difference scores and MD . Participant Before Treatment After Treatment D D A 82 89 D
(ANSWES a-I) D2(answers a-I) B 64 67 C 76 79 D 6 8 E 38 40 F 150 147 G 10 14 H 4 11 I 16 18
D = D = MD = Compute SS, sample variance, and estimated standard error. SS = s = sMD =
Using a two-tailed test with = .05, is there a significant difference between the two treatments? t-
critical = t = The results indicate: Failure to reject the null hypothesis; the treatment does not have
a significant effect Failure to reject the null hypothesis; the treatment does have a significant effect
Rejection of the null hypothesis; the treatment does not have a significant effect Rejection of the
null hypothesis; the treatment does have a significant effect
