
James S. answered 04/08/18
Tutor
5.0
(25)
SPSS, Statistics & Research Design - Former Faculty
before..after...difference
32 ...... 34 ...... 2
31 ...... 31 ...... 0
29 ...... 35 ...... 6
10 ...... 16 ...... 6
30 ...... 33 ...... 3
33 ...... 36 ...... 3
22 ...... 24 ...... 2
25 ...... 28 ...... 3
32 ...... 26 ...... -6
20 ...... 26 ...... 6
31 ...... 31 ...... 0
29 ...... 35 ...... 6
10 ...... 16 ...... 6
30 ...... 33 ...... 3
33 ...... 36 ...... 3
22 ...... 24 ...... 2
25 ...... 28 ...... 3
32 ...... 26 ...... -6
20 ...... 26 ...... 6
Mean difference = 2.5
Std Dev of differences SD = 3.5978
Standard Error = SE = SD/sqrt(n) = 1.1377
The 95% t for 9 df (df=n-1) is 2.2622 (from Excel function "=TINV(.05,9)")
95% CI:
Lower Limit = Mean - t*SE = 2.50 - 2.2622(3.5978) = -0.03737
Upper Limit = Mean + t*SE = 5.0737
Since the 95% CI contains a value of zero, we cannot conclude that there is a significant difference between the before and after scores at the alpha=.05 level. In other words, if the true population difference score was zero, we would expect to get this result more than 5 times out of 100.