You wish to test the following claim (H1H1) at a significance
level of α=0.002α=0.002. For the context of this problem,
d=x2−x1d=x2-x1 where the first data set represents a pre-test and
the second data set represents a post-test.
Ho:μd=0Ho:μd=0
H1:μd≠0H1:μd≠0
You believe the population of difference scores is normally
distributed, but you do not know the standard deviation. You obtain
pre-test and post-test samples for n=14n=14 subjects. The average
difference (post - pre) is ¯d=−13.2d¯=-13.2 with a standard
deviation of the differences of sd=21.4sd=21.4.
What is the critical value for this test? (Report answer accurate
to three decimal places.)
critical value = ±±
What is the test statistic for this sample? (Report answer accurate
to three decimal places.)
test statistic =
The test statistic is...
This test statistic leads to a decision to...
As such, the final conclusion is that...
This is two tailed test, for α = 0.002 and df = 13
Critical value of t are -3.852 and 3.852.
Hence reject H0 if t < -3.852 or t > 3.852
Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (-13.2 - 0)/(21.4/sqrt(14))
t = -2.308
The test statistic is...not in the critical region
This test statistic leads to a decision to..fail to reject the
null
There is not 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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