Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of thế same simple random sample and that the differences have a distribution that is approximately normal. Use a 0.05 significance level to test for a difference between the measurements from the two arms. What can be concluded? 140 141 136 133 Right arm Left arm 143 180 174 192 140 144 In this example, µg 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 fr the right arm minus the measurement from the left arm. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: Hd = 0 H4: Ha <0 O B. Ho: Ha 0 H: H =0 OC. Ho: Ha#0 H: Hg>0 O D. Ho: Hd = 0 H: Hg #0 Identify the test statistic. t3= (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? Since the P-value is V than the significance level, V the null hypothesis. There V 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 thế same simple random sample and that the differences have a distribution that is approximately normal. Use a 0.05 significance level to test for a difference between the measurements from the two arms. What can be concluded? 140 141 136 133 Right arm Left arm 143 180 174 192 140 144 In this example, µg 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 fr the right arm minus the measurement from the left arm. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: Hd = 0 H4: Ha <0 O B. Ho: Ha 0 H: H =0 OC. Ho: Ha#0 H: Hg>0 O D. Ho: Hd = 0 H: Hg #0 Identify the test statistic. t3= (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? Since the P-value is V than the significance level, V the null hypothesis. There V sufficient evidence to support the claim of a difference in measurements between the two arms.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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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 0.05 significance level to test for a difference between the
measurements from the two arms. What can be concluded?
143
140
141
136
133
Right arm
Left arm
180
174
192
140
144
In this example, . 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?
O A. Ho: Ha = 0
O B. Ho: Hd #0
0 = Prt :H
O D. Ho: Hd =0
H
O C. Ho: Ha 0
Identify the test statistic.
t%3D
(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?
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.
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