If other factors are held constant, then how does the sample size affect the lik

ID: 3046392 • Letter: I

Question

If other factors are held constant, then how does the sample size affect the likelihood of rejecting the null hypothesis and the value for Cohen's d?

a. A larger sample size increases the likelihood of rejecting the null hypothesis and increases the value of Cohen's d.

b. A larger sample size increases the likelihood of rejecting the null hypothesis but does not change the value of Cohen's d.

c. A larger standard deviation decreases the likelihood of rejecting the null hypothesis but increases the value of Cohen's d.

d. A larger standard deviation decreases the likelihood of rejecting the null hypothesis and does not change the value of Cohen's d

Explanation / Answer

Increasing the sample size increases the region of rejection and so increases the likelihood of rejecting, but Cohen's d is not affected by sample size.

So answer is

b. A larger sample size increases the likelihood of rejecting the null hypothesis but does not change the value of Cohen's d.

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If other factors are held constant, then how does the sample size affect the lik

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