Assignment: Answer the following multiple choice:

1. One sample with n = 8 and a second sample with n = 10 will produce an independent-measures t statistic with df = 9. True or False

2. A researcher reports t(24) = 5.30 for an independent-measures experiment. How many individuals participated in the entire experiment? (Points: 1)

a. 24

b. 25

c. 26

d. 12

3. One sample of n = 5 scores has SS = 36. A second sample of n = 7 scores has SS = 64. What is the value of the pooled variance for these two samples?

a. 100/12

b. 100/10

c. 36/5 + 64/7

d. 36/4 + 64/6

4.

The data from an independent-measures research study produce a sample mean difference of 4 points and a pooled variance of 12. If there are n = 6 scores in each sample, then the estimated standard error for the mean difference is _____. (Points: 1)

a. 2

b. 4

c. 12

d. 120

5. Two samples, each with n = 10 scores, are selected from the same population. If the variance for the first sample is s2 = 40 and the variance for the second sample is s2 = 50, then how much difference should be expected, on average, between the two sample means? (Points: 1)

a. 90 points

b. 45 points

c. 3 points

d. impossible to determine without additional information

6. The numerator of the repeated-measures t formula measures how much difference there is between the sample mean and the hypothesized population mean.

True

False

7. Compared to independent-measures designs, repeated-measures studies reduce the variance by removing individual differences. (Points: 1)

True

False

8. In general, an increase in variance for the sample of difference scores will cause _____.

a. an increase in the standard error and an increase in the value of t

b. an increase in the standard error and a decrease in the value of t

c. a decrease in the standard error and an increase in the value of t

d. a decrease in the standard error and a decrease in the value of t

9. With a= .05 and a sample of n = 15 participants in a repeated-measures study comparing two treatments, what are the t statistic boundaries for the two-tailed critical region? (Points: 1)

a. t = ±2.145

b. t = ±1.761

c. t = ±1.746

d. t = ±2.120

10. If a repeated-measures study shows a significant difference between two treatments with a = .01, then you can be sure that _____.

a. the value of Cohen’s d is large.

b. the percentage of variance explained (r2) is large

c. both Cohen’s d and r2 are large

c. A significant effect does not necessarily mean that the effect size will be large.

#### Top Answer

After working on your question, I... View the full answer