In: Statistics and Probability
hw 9 # 15
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?
Right arm |
143 |
137 |
121 |
138 |
131 |
|
---|---|---|---|---|---|---|
Left arm |
171 |
174 |
191 |
149 |
136 |
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?
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?
Right arm |
143 |
137 |
121 |
138 |
131 |
|
---|---|---|---|---|---|---|
Left-arm |
171 |
174 |
191 |
149 |
136 |
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.
we want to test that there is a difference between the measurements from the two arms.
ie.e μd = 0 or not
The null and alternative hypotheses for the hypothesis test.
Ho:- μd = 0
vs
Ha:- μd ≠ 0
i.e Ho:- There is no difference between the measurements from the two arms.
Vs
Ha:- There is a difference between the measurements from the two arms.
df = n-1 =5-1 = 4
S2 = SS⁄df = 2638.8/(5-1) = 659.7
S2M = S2/N = 659.7/5 = 131.94
SM = √S2M = √131.94 = 11.49
T-value Calculation
t = (M - μ)/SM
= (30.2 - 0)/11.49
T= 2.63
P-value =p(|t4 |> |2.63|)
= 2* P(t4 > 2.63)
= 2 * 0.291
= 0.0582
P-value = 0.0582
P-value = 0.0582 > 0.05 level of signficance
We fail to reject Ho
So we may conclude that the data do not provide sufficient evidence to support the claim that there is a difference between the measurements from the two arms.