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A random sample is obtained from a population with n mean of μ = 45. After a treatment is administered to the individuals in the sample, the sample mean is M = 49 with a standard deviation of s = 12. a. Assuming that the sample consists of n = 9 scores, compute r 2 and the estimated Cohen's d to measure the size of treatment effect. b. Assuming that the sample consists of n = 16 scores, compute r 2 and the estimated Cohen's d to measure the size of treatment effect. c. Comparing your answers from parts a and b , how does the number of scores in the sample influence the measures of effect size?

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Essentials of Statistics for the B...

8th Edition
Frederick J Gravetter + 1 other
Publisher: Cengage Learning
ISBN: 9781133956570
BuyFind

Essentials of Statistics for the B...

8th Edition
Frederick J Gravetter + 1 other
Publisher: Cengage Learning
ISBN: 9781133956570

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Chapter
Section
Chapter 9, Problem 19P
Textbook Problem

A random sample is obtained from a population with n mean of μ = 45. After a treatment is administered to the individuals in the sample, the sample mean is M = 49 with a standard deviation of s = 12.

a. Assuming that the sample consists of n = 9 scores, compute r2 and the estimated Cohen's d to measure the size of treatment effect.

b. Assuming that the sample consists of n = 16 scores, compute r2 and the estimated Cohen's d to measure the size of treatment effect.

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

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