Identify the test statistic. |t= (Round to two decimal places as needed.) Identify the P-value. P-value= (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? than the significance level, Since the P-value is between the two arms. the null hypothesis. There sufficient evidence to support the claim of a difference in measurements

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.CR: Chapter 13 Review
Problem 58CR
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Identify the test statistic.
t= (Round to two decimal places as needed.)
Identify the P-value.
P-value =
(Round to three decimal places as needed.)
What is the conclusion based on the hypothesis test?
than the significance level,
Since the P-value is
between the two arms.
the null hypothesis. There
sufficient evidence to support the claim of a difference in measurements
Transcribed Image Text:Identify the test statistic. t= (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? than the significance level, Since the P-value is between the two arms. the null hypothesis. There sufficient evidence to support the claim of a difference in measurements
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
Left arm
142 140 136 135
165 179 149
170
136
137
Transcribed Image Text: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 Left arm 142 140 136 135 165 179 149 170 136 137
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