You wish to test Ho: d = 0 versus H₁: μd > 0 at a significance level of 0.10. For the context of this problem, d = μ₂ μ₁ where the first data set represents a pre-test and the second data set represents a post-test. You obtain pre-test and post-test samples for na = 25 subjects. The average difference (post-pre) is d = 7 with a standard deviation of the differences of sa = 11.6. Round your answers to three decimal places, and round any interim calculations to four decimal places. What is the test statistic?
You wish to test Ho: d = 0 versus H₁: μd > 0 at a significance level of 0.10. For the context of this problem, d = μ₂ μ₁ where the first data set represents a pre-test and the second data set represents a post-test. You obtain pre-test and post-test samples for na = 25 subjects. The average difference (post-pre) is d = 7 with a standard deviation of the differences of sa = 11.6. Round your answers to three decimal places, and round any interim calculations to four decimal places. What is the test statistic?
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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![You wish to test \( H_0: \mu_d = 0 \) versus \( H_a: \mu_d > 0 \) at a significance level of 0.10. For the context of this problem, \( \mu_d = \mu_2 - \mu_1 \) where the first data set represents a pre-test and the second data set represents a post-test. You obtain pre-test and post-test samples for \( n_d = 25 \) subjects. The average difference (post – pre) is \( \bar{x}_d = 7 \) with a standard deviation of the differences of \( s_d = 11.6 \).
Round your answers to three decimal places, and round any interim calculations to four decimal places.
What is the test statistic?
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Transcribed Image Text:You wish to test \( H_0: \mu_d = 0 \) versus \( H_a: \mu_d > 0 \) at a significance level of 0.10. For the context of this problem, \( \mu_d = \mu_2 - \mu_1 \) where the first data set represents a pre-test and the second data set represents a post-test. You obtain pre-test and post-test samples for \( n_d = 25 \) subjects. The average difference (post – pre) is \( \bar{x}_d = 7 \) with a standard deviation of the differences of \( s_d = 11.6 \).
Round your answers to three decimal places, and round any interim calculations to four decimal places.
What is the test statistic?
\[
\boxed{}
\]
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