You wish to test the following claim (Ha) at a significance
level of α=0.05. For the context of this problem,
μd=PostTest−PreTest 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 μ1 and μ2
are so that the differences are computed correctly.)
Ho:μd=0
Ha:μd≠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 |
---|---|
53.5 | 76.6 |
35.1 | 27.3 |
42.8 | 12 |
54.3 | -1.8 |
40.9 | -65 |
67.5 | 87 |
46.2 | 34.7 |
61.7 | 23.5 |
41.4 | 40 |
59.9 | 5.3 |
61.2 | 90.3 |
35.1 | -21 |
58.2 | 49.1 |
37.7 | 55.4 |
33.6 | 33.5 |
35.8 | 28 |
32.8 | 30.1 |
56.6 | -36.2 |
47 | 29.4 |
67.5 | 45.1 |
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.)
The p-value is...
This test statistic leads to a decision to...
As such, the final conclusion is that...
The statistical software output for this problem is :
Test statistics = -2.5875
P-value =0.0181
The p-value is less than (or equal to) α
reject the null
There is sufficient evidence to warrant rejection of the claim that the mean difference of post-test from pre-test is not equal to 0.
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