1. In testing for the equality of variances from two independent populations, if the null hypothesis is false, the test could result in:

A. A Type I error
B. Either A Type I error or A Type II error
C. Neither A Type I error or A Type II error
D. A Type II error
E. Both A Type I error and A Type II error

2. In testing for the equality of means from two independent populations, if the hypothesis of equal population means is rejected at alpha=.01, it will __________ be rejected at alpha=.05.

A. Always
B. Sometimes
C. Never

3. In order to test the effectiveness of a drug called XZR designed to reduce cholesterol levels, 9 heart patients’ cholesterol levels are measured before they are given the drug. The same 9 patients use XZR for two continuous months. After two months of continuous use the 9 patients’ cholesterol levels are measured again. The comparison of cholesterol levels before vs. after administering the drug is an example of testing the difference between:

A. Two means from independent populations
B. Two population variances from independent populations
C. Two population proportions
D. Matched pairs from two dependent populations

4. A new company is in the process of evaluating its customer service. The company offers two types of sales: 1. Internet sales; 2. Store sales. The marketing research manager believes that the Internet sales are more than 10% higher than store sales. The alternative hypothesis for this problem would be stated as:

A. Pinternet-Pstore>0
B. Pinternet-Pstore<0 C. Pinternet-Pstore0 D. Pinternet-Pstore.10 E. Pinternet-Pstore>.10

5. When testing a hypothesis about the mean of a population of paired differences in which two different observations are taken on the same units, the correct test statistic to use is:

A. Z
B. T
C. F
D. Chi-square
E. None of the above

6. When testing the difference between two population proportions using large independent random samples, __________ test statistic is used.

A. Z
B. T
C. F
D. Chi-square
E. None of the above

7. A financial analyst working for a financial consulting company wishes to find evidence that the average price-to-earnings ratio in the consumer industry is higher than average price-to-earnings ratio in banking industry. The alternative hypothesis is:

A. consumer=banking
B. consumerbanking
C. consumer>banking
D. consumer<banking E. consumer ¹banking 8. If we are testing the difference between the means of two normally distributed independent populations with samples of n1=10, n2=10, the degrees of freedom for the t statistic is ____. A. 19 B. 18 C. 9 D. 8 E. 20 9. Given the following information about a hypothesis test of the difference between two means based on independent random samples, which one of the following is the correct rejection region at a significance level of .05? HA: A>B, 1=12, 2=9, s1=4, s2=2, n1=13, n2=10.

A. Reject H0 if Z>1.96
B. Reject H0 if Z>1.645
C. Reject H0 if t>1.721
D. Reject H0 if t>2.08
E. Reject H0 if t>1.782

10. Given the following information about a hypothesis test of the difference between two means based on independent random samples, what is the calculated value of the test statistic? Assume that the samples are obtained from normally distributed populations having equal variances.
HA: A>B, 1=12, 2=9, s1=5, s2=3, n1=13, n2=10.

A. T=1.674
B. T=1.5
C. T=2.823
D. T=1.96
E. T=1.063

11. Given the following information about a hypothesis test of the difference between two variances based on independent random samples, what is the critical value of the test statistic at a significance level of .05? Assume that the samples are obtained from normally distributed populations.
HA: 2A>2B, 1=12, 2=9, s1=5, s2=3, n1=13, n2=10.

A. 3.87
B. 3.44
C. 3.07
D. 2.8
E. 2.38

12. When a one-way ANOVA model is converted into a two-way ANOVA model by adding a blocking factor, the value of SSE will ________________ increase.

A. Always
B. Sometimes
C. Never

13. When computing a confidence interval for the difference between two means, the width of the (1-) confidence interval based on Tukey’s procedure will be __________ the width of the (1-) individual confidence interval based on t statistic.

A. Greater than
B. Less than
C. Same as
D. Sometimes greater than sometimes less than

14. In a completely randomized (one-way) analysis of variance problem with c groups and a total of n observations in all groups, the variance between groups is equal to:

A. (Total sum of squares)-(Sum of squares within columns)
B. (Sum of squares between columns)/(c-1)
C. (Total sum of squares)-[(Sum of squares within columns)/(n-c)]
D. [(Total sum of squares)/(n-1)]-[(Sum of squares between columns)/(c-1)]

15. Using the ANOVA procedure for a two factor factorial experiment, with 4 levels of factor 1 and 5 levels of factor 2 and three observations for e
okay, perhaps I should elaborate. I have completed this assignment but I am not 100% sure that I have the correct answers. My answers are as follows:

1. A
2. A
3. C
4. D
5. B
6. A
7. B
8. B
9. D
10. A
11. C
12. C
13. A
14. A
15. E
16. D
17. B
18. C
19. E

Could you at least tell me which ones I got wrong so I can get back to work on them?