1 Why does a change in sample sizes have little or no effect on Cohen\'s d in an

Question

1 Why does a change in sample sizes have little or no effect on Cohen's d in an independent-measures t statistic?

A. Because sample sizes do not appear in the formula for Cohen's d.

B. Because the sample sizes are too small to have an effect

C. Because the sample size occurs in the numerator as part of the difference in sample means and in the denominator as part of the pooled variance, and the effect of one is virtually cancelled out by the effect of the other.

D. Because the difference in the sample sizes is too small to have an effect.

2 .A random sample is selected from a normal population with a mean of = 200 and a standard deviation of = 12. After a treatment is administered to the individuals in the sample, the sample mean is found to be M = 196. How large a sample is necessary for this sample mean to be statistically significant using a two-tailed test with = .05?

A 30 ,

B 35

C 40

D 70

3. Which of the following sets of data is least likely to reject the null hypothesis in a test with the independent-measures t statistic. Assume that other factors are held constant.

a. n = 30 and SS = 190 for both samples

b. n = 15 and SS = 190 for both samples

c. n = 30 and SS = 375 for both samples

d. n

Which of the following is not a linear equation?

a. n = 30 and SS = 190 for both samples

b. n = 15 and SS = 190 for both samples

c. n = 30 and SS = 375 for both samples

d n= 15 and SS = 375 for both sample

d. n

456 10 8 3

Explanation / Answer

Que1. >> ans C

Que2.>> ans D

Que3: >>> ans B

Que4.. >> ans D

Que5.>> ans D

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