Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.10 significance level to test for a difference between the measurements from the two arms. What can be concluded? Right arm 148 148 120 132 132 Left arm 185 170 187 139 154 In this example, μd is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the measurement from the right arm minus the measurement from the left arm. What are the null and alternative hypotheses for the hypothesis test? A. H0: μd=0 H1: μd≠0 B. H0: μd≠0 H1: μd=0 C. H0: μd≠0 H1: μd>0 D. H0: μd=0 H1: μd<0 Identify the test statistic. t=nothing (Round to two decimal places as needed.) Identify the P-value. P-value=nothing (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is ▼ less greater than the significance level, ▼ reject fail to reject the null hypothesis. There ▼ is not is sufficient evidence to support the claim of a difference in measurements between the two arms.
Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.10 significance level to test for a difference between the measurements from the two arms. What can be concluded? Right arm 148 148 120 132 132 Left arm 185 170 187 139 154 In this example, μd is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the measurement from the right arm minus the measurement from the left arm. What are the null and alternative hypotheses for the hypothesis test? A. H0: μd=0 H1: μd≠0 B. H0: μd≠0 H1: μd=0 C. H0: μd≠0 H1: μd>0 D. H0: μd=0 H1: μd<0 Identify the test statistic. t=nothing (Round to two decimal places as needed.) Identify the P-value. P-value=nothing (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is ▼ less greater than the significance level, ▼ reject fail to reject the null hypothesis. There ▼ is not is sufficient evidence to support the claim of a difference in measurements between the two arms.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a
0.10
significance level to test for a difference between the measurements from the two arms. What can be concluded?
Right arm
|
148
|
148
|
120
|
132
|
132
|
|
---|---|---|---|---|---|---|
Left arm
|
185
|
170
|
187
|
139
|
154
|
|
In this example,
mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the measurement from the right arm minus the measurement from the left arm. What are the null and alternative hypotheses for the hypothesis test?
μd
is the H0:
μd=0
H1:
μd≠0
H0:
μd≠0
H1:
μd=0
H0:
μd≠0
H1:
μd>0
H0:
μd=0
H1:
μd<0
Identify the test statistic.
t=nothing
(Round to two decimal places as needed.)Identify the P-value.
P-value=nothing
(Round to three decimal places as needed.)What is the conclusion based on the hypothesis test?
Since the P-value is
than the significance level,
the null hypothesis. There
sufficient evidence to support the claim of a difference in measurements between the two arms.
▼
less
greater
▼
reject
fail to reject
▼
is not
is
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