A random sample of n = 16 scores is obtained from a  population with a mean of μ = 45. After a treatment  is administered to the individuals in the sample, the  sample mean is found to be M = 49.2.  a. Assuming that the sample standard deviation is  s = 8, compute r2 and the estimated Cohen’s d to  measure the size of the treatment effect.  b. Assuming that the sample standard deviation is  s = 20, compute r2 and the estimated Cohen’s d to  measure the size of the treatment effect.  c. Comparing your answers from parts a and b, how  does the variability of the scores in the sample  influence the measures of effect size?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
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A random sample of n = 16 scores is obtained from a  population with a mean of μ = 45. After a treatment  is administered to the individuals in the sample, the  sample mean is found to be M = 49.2. 

a. Assuming that the sample standard deviation is  s = 8, compute r2 and the estimated Cohen’s d to  measure the size of the treatment effect. 

b. Assuming that the sample standard deviation is  s = 20, compute r2 and the estimated Cohen’s d to  measure the size of the treatment effect. 

c. Comparing your answers from parts a and b, how  does the variability of the scores in the sample  influence the measures of effect size?

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