1. Based on the theoretical sampling strategy, how many samples of size 4 (n=4) can be drawn from a population of size:

a. N=61,296 samples

b. N=1010,000 samples

c. N=20160,000 samples

d. N=506,250,000 samples

2. Based on the experimental sampling strategy, how many samples of size 4 (n=4) can be drawn from a population of size:

a. N=615 samples

b. N=735 samples

c. N=10210 samples

d. N=12495 samples

3. A population is normally distributed with a mean of 48 and a standard deviation of 14.

a. What is the mean of the sampling distribution for this population?

b. If a sample of 24 participants is selected from this population, what is the standard error of the mean?

c. Sketch the shape of this distribution with M+/-SEM

4. A population is normally distributed with a mean of -20 and a standard deviation of 4.

a. What is the mean of the sampling distribution for this population?

b. If a sample of 18 participants is selected from this population, what is the standard error of the mean?

c. Sketch the shape of this distribution with M+/-SEM

5. A population of scores is normally distributed with a standard deviation of 8. State whether the standard error will increase, decrease, or remain unchanged if the value of the population standard deviation is changed to:

a.= 10

a.= 28/4

a.= 2

a.= 4/20

a.= 7.5

a.= 0

6. A sample of 20 score is selected from a normal distributed population. State whether the standard error will increase or decrease if the sample size is changed to:

a. n= 36

b. n=5

c. n=22

d n=19

7. Researchersselected a sample of 50 from a high school with a population of about 1,200.

a. Set up a calculation used to determine how many possible samples of 1,200 are possible from this population of 1,200 using theoretical sampling.

b. Would more samples be possible if the researchers used experimental sampling?

8. State whether each of the following statements about the sample variance is true or false:

a. The sample distribution of sample variance is approximately normal.

b. The value of the sample variance is an unbiased estimator of the population variance.

c. It is more important that the sample variance be an unbiased estimator than that it vary minimally from the population variance.

d. The value of the sample variance will vary minimally from the population variance when dividing the SS by df.