18. A random sample of n = 16 scores is obtained from a population with a mean ofu = 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 r and the estimated Cohen's d to measure the size of the treatment effect. %3D b. Assuming that the sample standard deviation is s = 20, compute r 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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18. A random sample of n = 16 scores is obtained from a
population with a mean ofu = 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 r and the estimated Cohen's d to
measure the size of the treatment effect.
%3D
b. Assuming that the sample standard deviation is
s = 20, compute r 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?
Transcribed Image Text:18. A random sample of n = 16 scores is obtained from a population with a mean ofu = 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 r and the estimated Cohen's d to measure the size of the treatment effect. %3D b. Assuming that the sample standard deviation is s = 20, compute r 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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