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 
147 
149 
142 
135 
136 


Left arm 
178 
170 
192 
156 
147 
In this example,
mu Subscript dμd
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= (Round to two decimal places as needed.)
Identify the Pvalue.
P= (Round to three decimal places as needed.)
Since the Pvalue is (less/greater) than the significance level, (reject/fail to reject) the null hypothesis. There (is/is not) sufficient evidence to support the claim of a difference in measurements between the two arms.
1()option A:
H0: μd=0
H1: μd≠0
2)
test statistic t =4.06
3)
p value = 0.015
Since the Pvalue is less .....reject .........there is sufficient,,,,,,,,,
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