Callahan (2009) demonstrated that Tai Chi can significantly reduce symptoms for individuals with arthritis. Participants were 18 years old or older with doctor-diagnosed arthritis. Self-reports of pain and stiffness were measured at the beginning of an 8-week Tai Chi course and again at the end. Suppose that the data produced an average decrease in pain and stiffness of MD = 8.5 points with a standard deviation of 21.5 for a sample of n = 40 participants. a. Use a two-tailed test with α = .05 to determine whether the Tai Chi had a significant effect on pain and stiffness. b. Compute Cohen’s d to measure the size of the treatment effect.
Callahan (2009) demonstrated that Tai Chi can significantly reduce symptoms for individuals with arthritis. Participants were 18 years old or older with doctor-diagnosed arthritis. Self-reports of pain and stiffness were measured at the beginning of an 8-week Tai Chi course and again at the end. Suppose that the data produced an average decrease in pain and stiffness of MD = 8.5 points with a standard deviation of 21.5 for a sample of n = 40 participants. a. Use a two-tailed test with α = .05 to determine whether the Tai Chi had a significant effect on pain and stiffness. b. Compute Cohen’s d to measure the size of the treatment effect.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Callahan (2009) demonstrated that Tai Chi can significantly reduce symptoms for individuals with arthritis. Participants were 18 years old or older with doctor-diagnosed arthritis. Self-reports of pain and stiffness were measured at the beginning of an 8-week Tai Chi course and again at the end. Suppose that the data produced an average decrease in pain and stiffness of MD = 8.5 points with a standard deviation of 21.5 for a sample of n = 40 participants.
a. Use a two-tailed test with α = .05 to determine whether the Tai Chi had a significant effect on pain and stiffness.
b. Compute Cohen’s d to measure the size of the treatment effect.
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