17. The Central Limit Theorem tells us that

a. The sampling distribution of sample means will be normal when the sample size is large enough, regardless of the actual distribution of population data.

b. The sampling distribution of sample means will be normal when the sample size is large enough, provided that the population standard deviation is not too large (i.e., not bigger than 3).

c. The sampling distribution of sample means will be normal when there is no outlier in the sample data as the sample distribution is not skewed.

d. All of the above.

e. None of the above

18. Which of the following actions will have no effect on the value of standard deviation?

I. Subtracting 5 points from every score in the distribution

II. Multiplying each score in the distribution by 2.

III. Dividing each score in the distribution by 3.

IV. Squaring each score in the distribution

a. I only.

b. I, II, and III only.

c. I and IV only.

d. II, III, and IV only.

e. All of the above actions will change the value of the standard deviation.