As sample size increases, what happens to measures of effect size such as r 2 and Cohen's d?
A)Sample size does not have any great influence on measures of effect size.
B)The effect of sample size depends on other factors such as sample variance.
C)They tend to decrease.
D)They also tend to increase.
Correct Answer: Option (A) Sample size does not have any great influence on measures of effect size.
since Cohen's and correlation determination formula are independent of sample size (n)
As sample size increases, what happens to measures of effect size such as r 2 and...
Capter question 17 Aa Aa A random sample of n 8 scores is obtained from a population with a mean of μ administered to the individuals in the sample, the sample mean is found to be M 50. After a treatment is 55. t Distribution Degrees of Freedom 21 ,250 2500 -3.0 -2.0 0.0 1.0 2.0 3.0 0:686 0.686 Assuming that the sample variance is s2 32, use a two-tailed hypothesis test with α = .05 to deter mine whether...
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What is the effect size for a sample M = 10.0 (n = 25), with a normal population of µ = 15.0, and a standard deviation of σ = 5.00. Note that some of the information provided is not needed. Cohen's d = 0.1, a small effect size. Cohen's d = 0.5, a medium effect size. Cohen's d = 0.8, a large effect size. Cohen's d = 1.0, a large effect size.
When we decrease the sample size, what happens to the margin of error in the confidence interval? A. Become larger B. Become smaller C. Stay the same D. It depends
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