Question 4

1. The list of all means you would compute from all possiblesamples you could draw of a given size from a given population iscalled the:

		Standard Error of the Mean
		Confidence Level
		Sampling Distribution of Means
		Confidence Interval

Question 5

1. The larger the sample size, the _______ the standard error ofthe mean.

		larger
		smaller
		more dispersed.
		less dispersed.

What does the central limits theorem tell us about the mean ofthe sampling distribution of means?

		The mean of the sampling distribution of means is always equalto 0.
		The mean of the sampling distribution of means is equal to theoverall population mean.
		The mean of the sampling distribution of means is equal to theoverall population standard deviation.
		The central limits theorem tells us nothing about the mean ofthe sampling distribution of means.

Question 7

What does the central limits theorem tell about the standarddeviation of the sampling distribution of means, or standarderror?

		The standard error is equal to the standard deviation of theoverall population divided by the square root of the samplesize.
		The standard error is equal to either 1.97 or 2.57.
		The standard error is equal to the sample mean times the samplesize.
		The central limits theorem tells us nothing about the standarddeviation of the sampling distribution of means, or standarderror.

Question 7

What does the central limits theorem tell about the standarddeviation of the sampling distribution of means, or standarderror?

A. The standard error is equal to the standard deviation of theoverall population divided by the square root of the samplesize.

B. The standard error is equal to either 1.97 or 2.57.

C. The standard error is equal to the sample mean times thesample size.

D. The central limits theorem tells us nothing about thestandard deviation of the sampling distribution of means, orstandard error.

Question 8

Which of the following symbol labels is NOT correct?

    A. σ Standard Deviation of the Population

    B.    s   StandardDeviation of the Sample

    C.    n Sample Size

    D.     μ Mean of theSample

Question 9

If the mean of a sample is 50 and the standard deviation of thesample is 15, what Z score corresponds to a raw score of 35?

a. +1.5

b. -1.5

c. +1.0

d. - 1.0

Question 10.

Use the interactive website to determine what percent of thecases in the variable distribution described in Question 9 (Mean =50 SD = 15) fall below the raw score of 35.

a. .1586%

b. 15.86%

c. .7344%

d. 73.44%

Question 11

Given the variable distribution described in Question 9 (Mean =50 SD = 15), what z score corresponds to a raw score of 65?

a. +1.5

b. +.5

c. +1.0

d.-1.0