A B C D

1.

Suppose that a population with N = 144 has = 24. What is the mean of the sampling distribution of the mean for samples of size 25?

(a)24.

(b)2.

(c)4.8.

(d)Cannot be determined from the information given.

A B C D

2.

The finite population multiplier does not have to be used when the sampling fraction is

(a)Greater than 0.05.

(b)Greater than 0.50.

(c)Less than 0.50.

(d)Greater than 0.90.

(e)None of these.

A B C D

3.

The standard error of the mean for a sample size of two or more is

(a)Always greater than the standard deviation of the population.

(b)Generally greater than the standard deviation of the population.

(c)Usually less than the standard deviation of the population.

(d)None of these.

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4.

Which of the following t distributions would be expected to have the most area in its tails?

(a)

(b)

(c) x

(d)

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5.

Which of the following is a difference between z tables and t tables?

(a)The t table has values for only a few percentages.

(b)The t table measures the chance that the population parameter we are estimating will be in our confidence interval.

(c)We must specify the degrees of freedom with which we are dealing when using a z table.

(d)All of these.

(e)(a) and (c) but not (b).

A B C D

6.

If population proportion information is unknown, the standard error of the proportion can be estimated by the formula:

(a)

(b)

(c)

(d)

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7.

The average height of the 25 students in Mr. Stanton's tenth grade math class is known to be 66". In constructing a 95 percent confidence interval for the average height of all tenth graders, we would use:

(a)The normal distribution with 24 degrees of freedom.

(b)The t distribution with 24 degrees of freedom.

(c)The t distribution with 65 degrees of freedom.

(d)The t distribution with 25 degrees of freedom.

A B C D

8.

A certain normally distributed population has a known standard deviation of 1.0. What is the total width of a 95 percent confidence interval for the population mean?

(a)1.96.

(b)0.98.

(c)3.92.

(d)It cannot be determined from the information given.

A B C D

9.

When a null hypothesis is accepted, it is possible that:

(a)A correct decision has been made.

(b)A type I error has been made.

(c)Outside of the two critical values.

(d)Neither (a) nor (b) has occurred.

(e)None of these.

A B C D

10.

For a two-tailed test of hypotheses of , the acceptance region is the entire region:

(a)To the right of the negative critical value.

(b)Between the two critical values.

(c)Outside of the two critical values.

(d)To the left of the positive critical value.