1) A research assistant wants to compute a two-independent sample t test. He determines the sample size for both are n1 = 15 and n2 = 25. If he was to compute the estimated standard error for the difference, what would he need to do? a. There is not enough information to answer this question. b. compute the pooled variances for equal sample sizes c. compute the pooled variances for unequal sample sizes d. compute the pooled variances

2) A researcher wishes to compute a two-independent sample t test. She knows the sample size for both samples along with the shared population variance. What other values does she need to know to compute the test?

a. the sample mean for both samples b. She cannot run the test. c. the pooled sample variance d. the pooled sample variance and the sample mean for both samples

3) A researcher determines that their critical value is 4.032 when = .01. Based on this information, is the researcher conducting a one- or two-independent sample t-test and what are the degrees of freedom for this test? a. one-independent sample t test, df = 3 b. two-independent sample t test, df = 5 c. two-independent sample t test, df = 7 d. one-independent sample t test, df = 9

4) Given the following values: M1 = 12, M2 = 10, n1 = 14, n2 = 14, s1 = 1.2, s2 = 2.8, = .05, conduct a two-independent sample t test where H0: 1 - 2 = 0. What will be the decision for the null hypothesis? a. reject the alternative hypothesis b. There is not enough information to answer this question. c. retain the null hypothesis d. reject the null hypothesis

5) A research assistant is conducting a one-independent sample t-test (lower tail critical). Assuming = .05, what would the critical value be? a. There is not enough information to answer. b. 3.169 c. 2.365 d. 1.812

6) A researcher wants to report the proportion of variance from a one-independent sample t test, however he notices that reporting Cohen's d will have a medium effect while reporting 2 will have a large effect. What is the reason for the difference in effect size? a. 2 is the most conservative estimate of the proportion of variance. b. Estimated Cohen's d is an unbiased estimator. c. 2 overestimates the proportion of variance. d. None of these

7) When computing the effect size for a two-independent sample t test, why is 2 a less biased measure? a. 2 is computed by subtracting 1 from t2. b. 2 has always been the most conservative measure of effect size. c. 2 is biased due to overestimating the population variance. d. 2 is computed by dividing t2 into t2 + df.