The Analysis of Biological Data
2nd Edition
ISBN: 9781936221486
Author: Michael C. Whitlock, Dolph Schluter
Publisher: W. H. Freeman
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Chapter 1, Problem 21AP
To determine
To explain:To determine whether the,
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The authors of a paper randomly selected two samples of patients admitted to the hospital after suffering a stroke. One sample was selected from patients who received biofeedback weight training for 8 weeks, and the other sample was selected from patients who did not receive this training. At the end of 8 weeks, the time it took (in seconds) to stand from a sitting position and then to sit down again (called sit-stand-sit time) was measured for the people in each sample. Data consistent with summary quantities given in the paper are given below. For purposes of this exercise, you can assume that the samples are representative of the population of stroke patients who receive the biofeedback training and the population of stroke patients who do not receive this training.
Biofeedback Group
2.2
2.9
4.6
2.4
3.0
4.4
3.5
4.3
3.5
3.8
3.1
3.8
3.8
2.6
3.4
No Biofeedback Group
5.2
4.8
4.0
4.3
4.8
4.4
4.3
5.2
3.5
4.3
5.2
4.5
4.1
3.5
4.0
Conduct a test of hypothesis to test whether…
The authors of a paper randomly selected two samples of patients admitted to the hospital after suffering a stroke. One sample was selected from patients who received biofeedback weight training for 8 weeks, and the other sample was selected from patients who did not receive this training. At the end of 8 weeks, the time it took (in seconds) to stand from a sitting position and then to sit down again (called sit-stand-sit time) was measured for the people in each sample. Data consistent with summary quantities given in the paper are given below. For purposes of this exercise, you can assume that the samples are representative of the population of stroke patients who receive the biofeedback training and the population of stroke patients who do not receive this training.
Biofeedback Group
2.1
2.8
4.5
2.3
2.9
4.3
3.4
4.2
3.4
3.7
3.0
3.7
3.7
2.5
3.3
No Biofeedback Group
5.2
4.8
4.0
4.3
4.8
4.4
4.3
5.2
3.5
4.3
5.2
4.5
4.1
3.5
4.0
Conduct a test of hypothesis to test whether…
The Specific Absorption Rate (SAR) for a cell phone measures the amount of radio frequency (RF) energy absorbed by the user’s body when using the handset. Every cell phone emits RF energy. Different phone models have different SAR measures. To receive certification from the Federal Communications Commission (FCC) for sale in the United States, the SAR level for a cell phone must be no more than 1.6 watts per kilogram. A random sample of 20 of the highest SAR level for a random selection of cell phone models as measured by the FCC was collected.
Find a 96% confidence interval for the true (population) mean of the Specific Absorption Rates (SARs) for cell phones. Assume that the population standard deviation is σ = 0.337 and the sample mean is 1.024
Chapter 1 Solutions
The Analysis of Biological Data
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