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 0.01 significance level to test for a difference between the measurements from the two arms. What can be concluded? 143 136 135 136 138 D Right arm Left arm 173 159 172 142 139 In this example, Hd 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 light arm minus the measurement from the left arm. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: Hd =0 ов. Но На 20 Ho: Hd H1: Hd #0 0 < Prl :TH OC. Ho Hd=0 O D. Ho: Hd #0 H1: Hd Prl : TH a 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? Since the P-value is Vthan 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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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 0.01 significance level to test for a difference between the
measurements from the two arms. What can be concluded?
143
136
135
136
138 D
Right arm
Left arm
173
159
172
142
139
In this example, Hd 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 light arm minus the measurement from the left arm. What are the null and alternative hypotheses for the hypothesis test?
O A. Ho: Hd =0
ов. Но На 20
Ho: Hd
H1: Hd #0
0 < Prl :TH
OC. Ho Hd=0
O D. Ho: Hd #0
H1: Hd<O
Identify the test statistic.
t3D
(Round to two decimal places as needed.)
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 0.01 significance level to test for a difference between the measurements from the two arms. What can be concluded? 143 136 135 136 138 D Right arm Left arm 173 159 172 142 139 In this example, Hd 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 light arm minus the measurement from the left arm. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: Hd =0 ов. Но На 20 Ho: Hd H1: Hd #0 0 < Prl :TH OC. Ho Hd=0 O D. Ho: Hd #0 H1: Hd<O Identify the test statistic. t3D (Round to two decimal places as needed.)
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 0.01 significance level to test for a difference between the
measurements from the two arms. What can be concluded?
143
136
135
136
138 D
Right arm
Left arm
173
159
172
142
139
H1: Hd = 0
0> Prl : TH
a 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?
Since the P-value is
Vthan the significance level,
the null hypothesis. There
sufficient evidence to support the claim of a difference in
measurements between the two arms.
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 0.01 significance level to test for a difference between the measurements from the two arms. What can be concluded? 143 136 135 136 138 D Right arm Left arm 173 159 172 142 139 H1: Hd = 0 0> Prl : TH a 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? Since the P-value is Vthan 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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