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. Identify the test statistic and p-value. A. T = -4.01, p-value = 0.016 B. T = -3.07, p-value = 0.037 C. T = -2.32, p-value = 0.081 D. T = -1.93, p-value = 0.127
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. Identify the test statistic and p-value. A. T = -4.01, p-value = 0.016 B. T = -3.07, p-value = 0.037 C. T = -2.32, p-value = 0.081 D. T = -1.93, p-value = 0.127
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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Question
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. Identify the test statistic and p-value.
A. |
T = -4.01, p-value = 0.016 |
|
B. |
T = -3.07, p-value = 0.037 |
|
C. |
T = -2.32, p-value = 0.081 |
|
D. |
T = -1.93, p-value = 0.127 |

Transcribed Image Text:### Systolic Blood Pressure Analysis
#### Data Overview
The following are systolic blood pressure measurements (in mm Hg) taken from the right and left arms of the same woman. These measurements are used to test if there is a significant difference between the two arms.
**Right Arm Measurements:**
- 146, 136, 114, 130, 136
**Left Arm Measurements:**
- 165, 177, 187, 146, 135
#### Statistical Analysis
The goal is to determine if there is a statistically significant difference between the blood pressure readings from the two arms using a significance level of 0.01. We assume the data is a simple random sample and that the differences follow a normal distribution.
#### Possible Test Statistics and p-values
Choose the appropriate test statistic and p-value:
- **A.** T = -4.01, p-value = 0.016
- **B.** T = 3.07, p-value = 0.037
- **C.** T = 2.32, p-value = 0.081
- **D.** T = -1.93, p-value = 0.127
### Explanation
To determine if there's a significant difference, compare the test statistics and p-values against the significance level (0.01). The closer the p-value is to the significance level, the more likely it is to indicate a significant difference in measurements between the two arms.
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