You wish to test the tollowing claim (Ha) at a significance level of a = 0.005. For the context of this problem, la = 42 - H1 where the first data set represents a pre-test and the second data set represents a post-test. H,: = 0 H3: Ha #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 = 15 subjects. The average difference (post - pre) is d = 16.6 with a standard deviation of the differences of są = 23.8. %3D
You wish to test the tollowing claim (Ha) at a significance level of a = 0.005. For the context of this problem, la = 42 - H1 where the first data set represents a pre-test and the second data set represents a post-test. H,: = 0 H3: Ha #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 = 15 subjects. The average difference (post - pre) is d = 16.6 with a standard deviation of the differences of są = 23.8. %3D
MATLAB: An Introduction with Applications
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![You wish to test the following claim (Ha) at a significance level of a = 0.005. For the context of this problem, µd = u2 - u1 Where the first data
set represents a pre-test and the second data set represents a post-test.
H.: Ha = 0
Ha: Ha + 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 = 15 subjects. The average difference (post - pre) is d = 16.6 with a standard deviation of the differences of sa = 23.8.
What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic = 2.70
What is the p-value for this sample? (Report answer accurate to four decimal places.)
p-value = 2.947
The p-value is..
less than (or equal to) a
greater than a
This test statistic leads to a decision to...
O reject the null
accept the null
fail to reject the null
As such, the final conclusion is that...
O 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.
O 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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F65cc6b57-0982-434c-820b-5331596b62f0%2F641d47b2-887d-4d44-8423-34c28a0ae8f2%2Fieogfzs_processed.jpeg&w=3840&q=75)
Transcribed Image Text:You wish to test the following claim (Ha) at a significance level of a = 0.005. For the context of this problem, µd = u2 - u1 Where the first data
set represents a pre-test and the second data set represents a post-test.
H.: Ha = 0
Ha: Ha + 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 = 15 subjects. The average difference (post - pre) is d = 16.6 with a standard deviation of the differences of sa = 23.8.
What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic = 2.70
What is the p-value for this sample? (Report answer accurate to four decimal places.)
p-value = 2.947
The p-value is..
less than (or equal to) a
greater than a
This test statistic leads to a decision to...
O reject the null
accept the null
fail to reject the null
As such, the final conclusion is that...
O 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.
O 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.
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