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1. If we are interested in testing whether the mean of items in population 1 is larger than the mean of items in population 2, the?

A. null hypothesis should state ₁ - ₂ < 0

B.null hypothesis should state ₁ - ₂ > 0

C. alternative hypothesis should state ₁ - ₂ > 0

D. alternative hypothesis should state ₁ - ₂ < 0

2. When developing an interval estimate for the difference between two sample means, with sample sizes of n₁ and n₂,?

A.n₁ must be equal to n₂

B.n₁ must be smaller than n₂

C.n₁ must be larger than n₂

D. n₁ and n₂ can be of different sizes,

3. When each data value in one sample is matched with a corresponding data value in another sample, the samples are known as?

A.corresponding samples

B. MATCHED SAMPLES

C. independent samples

D.None of these alternatives is correct.

4. Independent simple random samples are taken to test the difference between the means of two populations whose standard deviations are not known, but are assumed to be equal. The sample sizes are n₁ = 25 and n₂ = 35. The correct distribution to use is the?

A. t distribution with 61 degrees of freedom

B. t distribution with 60 degrees of freedom

C. t distribution with 59 degrees of freedom

D. t distribution with 58 degrees of freedom

5. For testing the following hypothesis at 95% confidence, the null hypothesis will be rejected if ₀: ₁ - ₂ 0 : ₁ - ₂ > 0

A. p-value 0.05

B. p-value > 0.05

C. p-value > 0.95

D. p-value 0.475

6. For a one-tailed test (lower tail) at 93.7% confidence, Z =

A. -1.86

B. -1.53

C.-1.96

D.-1.645

7. Exhibit 10-1 Salary information regarding male and female employees of a large company is shown below.

	Male	Female
Sample Size	64	36
Sample Mean Salary (in $1,000)	44	41
Population Variance ()	128	72

Refer to Exhibit 10-1. The point estimate of the difference between the means of the two populations is?

A.-28

B. 3

C. 4

D. -4

8. Exhibit 10-1 Salary information regarding male and female employees of a large company is shown below.

	Male	Female
Sample Size	64	36
Sample Mean Salary (in $1,000)	44	41
Population Variance ()	128	72

Refer to Exhibit 10-1. The standard error for the difference between the two means is?

A. 4

B. 7.46

C.4.24

D.2.0

9. Exhibit 10-1 Salary information regarding male and female employees of a large company is shown below.

	Male	Female
Sample Size	64	36
Sample Mean Salary (in $1,000)	44	41
Population Variance ()	128	72

Refer to Exhibit 10-1. At 95% confidence, the margin of error is?

A. 1.96

B.1.645

C.3.920

D.2.000

10. Exhibit 10-1 Salary information regarding male and female employees of a large company is shown below.

	Male	Female
Sample Size	64	36
Sample Mean Salary (in $1,000)	44	41
Population Variance ()	128	72

Refer to Exhibit 10-1. The 95% confidence interval for the difference between the means of the two populations is?

A. 0 to 6.92

B. -2 to 2

C. -1.96 TO 1.96-

D.0.92 to 6.92

11. Exhibit 10-1 Salary information regarding male and female employees of a large company is shown below.

	Male	Female
Sample Size	64	36
Sample Mean Salary (in $1,000)	44	41
Population Variance ()	128	72

Refer to Exhibit 10-1. If you are interested in testing whether or not the average salary of males is significantly greater than that of females, the test statistic is?

A. 2.0

B. 1.5

C. 1.96

D. 1.645

12. Exhibit 10-4 The following information was obtained from independent random samples. Assume normally distributed populations with equal variances.

	Sample 1	Sample 2
Sample Mean	45	42
Sample Variance	85	90
Sample Size	10	12

Refer to Exhibit 10-4. The standard error ofis?

A. 3.0

B. 4.0

C. 8.372

D. 19.48

13. Exhibit 10-9 Two major automobile manufacturers have produced compact cars with the same size engines. We are interested in determining whether or not there is a significant difference in the MPG (miles per gallon) of the two brands of automobiles. A random sample of eight cars from each manufacturer is selected, and eight drivers are selected to drive each automobile for a specified distance. The following data show the results of the test.

Driver	Manufacturer A	Manufacturer B
1	32	28
2	27	22
3	26	27
4	26	24
5	25	24
6	29	25
7	31	28
8	25	27

Refer to Exhibit 10-9. The mean for the differences is?

A. 0.50

B. 1.5

C.2.0

D. 2.5

14. If we are interested in testing whether the proportion of items in population 1 is larger than the proportion of items in population 2, the?

A.null hypothesis should state P₁ - P₂ < 0

B.null hypothesis should state P₁ - P₂ > 0

C. alternative hypothesis should state P₁ - P₂

D. alternative hypothesis should state P₁ - P₂ < 0

15. The sampling distribution ofis approximated by a?

A. normal distribution

B. t-distribution with n₁ + n₂ degrees of freedom

C. t-distribution with n₁ + n₂ - 1 degrees of freedom

D.t-distribution with n₁ + n₂ + 2 degrees of freedom