You wish to test the following claim ( H a ) at a significance level of α = 0.005 . For the context of this problem, μ d = P o s t T e s t − P r e T e s t where the first data set represents a pre-test and the second data set represents a post-test. (Each row represents the pre and post test scores for an individual. Be careful when you enter your data and specify what your μ 1 and μ 2 are so that the differences are computed correctly.)
H o : μ d = 0
H a : μ d ≠ 0
You believe the population of difference scores is normally distributed, but you do not know the standard deviation.
You obtain the following sample of data:
pre-test | post-test |
---|---|
46.8 | 51.2 |
63.2 | 65.9 |
61.9 | 59.5 |
48.4 | 65 |
66.5 | 77.1 |
53.4 | 53.4 |
64.3 | 60 |
63.6 | 64.9 |
48.1 | 42.4 |
38.1 | 26.4 |
59.7 | 50.3 |
43.5 | 46 |
53.4 | 60.8 |
51.3 | 60 |
53.9 | 42.2 |
62.6 | 68 |
56.1 | 61.5 |
66 | 66.9 |
47.7 | 53.7 |
44.9 | 38.6 |
What is the test statistic for this sample? test statistic = (Report answer accurate to 4 decimal places.)
What is the p-value for this sample? p-value = (Report answer accurate to 4 decimal places.)
this p value software calculated. We don't have that much big table for the total value what we got here.. Check the calculations.
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