You wish to test the following claim (Ha) at a significance level of a problem, Ha = 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 µi and uz are so that the differences are computed correctly.) 0.02. For the context of this %3D H,: Hd = 0

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You wish to test the following claim (Ha) at a significance level of a = 0.02. For the context of this
problem, 44 = 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 4i and u2 are so that the differences are computed
correctly.)
H.:Hd = 0
0 + Prl : "H
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
44.8
52.3
47.6
44.1
56.6
51.2
50.4
54.8
55.4
58.9
38
44.1
32.1
36
41.7
52.6
36.9
45.9
50.8
55
52.5
65.8
35.7
38.5
39.3
30.8
36.4
33.4
53.7
60
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...
O less than (or equal to) a
greater than a
This test statistic leads to a decision to...
O reject the null
O accept the null
fail to reject the null
As such, the final conclusion is that...
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.
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.
The sample data support the claim that the mean difference of post-test from pre-test is not equal
to 0.
There is not sufficient sample evidence to support the claim that the mean difference of post-test
from pre-test is not equal to 0.
Question Heln: M Message instrur
O Rort t
Transcribed Image Text:You wish to test the following claim (Ha) at a significance level of a = 0.02. For the context of this problem, 44 = 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 4i and u2 are so that the differences are computed correctly.) H.:Hd = 0 0 + Prl : "H 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 44.8 52.3 47.6 44.1 56.6 51.2 50.4 54.8 55.4 58.9 38 44.1 32.1 36 41.7 52.6 36.9 45.9 50.8 55 52.5 65.8 35.7 38.5 39.3 30.8 36.4 33.4 53.7 60 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... O less than (or equal to) a greater than a This test statistic leads to a decision to... O reject the null O accept the null fail to reject the null As such, the final conclusion is that... 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. 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. The sample data support the claim that the mean difference of post-test from pre-test is not equal to 0. There is not sufficient sample evidence to support the claim that the mean difference of post-test from pre-test is not equal to 0. Question Heln: M Message instrur O Rort t
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