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?
Right arm: 149, 142, 136, 136, 134
Left arm: 182, 175, 192, 142, 136
Hypothesis test. Please include confidence interval.
Subject | Right Arm | Left Arm | d = right - left |
1 | 149 | 182 | -33 |
2 | 142 | 175 | -33 |
3 | 136 | 192 | -56 |
4 | 136 | 142 | -6 |
5 | 134 | 136 | -2 |
Using the data of difference (right - left) from the above
table, we calculate
xd(bar) = -26
s(dbar) = 22.2149
sample size, n = 5, hence df = 4
H0:
Ha:
This is paired sample t-test
test statistic,
t = -2.6171
This is two tailed test, hence p-value = 2*P(t <
-2.6171)
p-value = 0.0590
As p-value > 0.01, fail to reject H0
there are not significant evidence to conclude that there is a
difference between the measurements from the two arms.
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