Test Yourself
Take this quiz and see how you do. Select the correct answers by using the drop down menus. Once you are done, click submit to see your score! The ones that you get wrong will have a check!
1. One important step in calculating the t test is to determine the difference between the average scores of the two groups.
-- Choose an answer --
a. True
b. False
2. If the df for the t test is 10, the number of scores analyzed was
-- Choose an answer --
a. 10
b. 12
3. If df = 14, t = 5, and p < .05, the results were statistically significant.
-- Choose an answer --
a. True
b. False
4. If df = 14, t = 5, p < .05, experimental group mean = 11, and control group mean = 1, the top (numerator) of the t ratio would be
-- Choose an answer --
a. 5
b. 10
5. If df = 14, t = 5, p < .05, experimental group mean = 11, and control group mean = 1, and the standard deviation of both groups was around 2, the effect size would be
-- Choose an answer --
a. small
b. large
6. A t test should be used if your dependent measure is qualitative (e.g., 1 = looked nervous, 2= looked happy, 3= looked calm).
-- Choose an answer --
a. True
b. False
7. If you randomly assign the soccer team to be the control group and the softball team to be the treatment group, the results of a t test on data from your simple experiment will
-- Choose an answer --
a. Not be valid
b. Still be valid
8. Which of the following would be a more serious problem?
-- Choose an answer --
a. Conducting a t test on nominal data
b. Conducting a t test on data that were not normally distributed
9. If you had two groups that had unequal variances, you would be least worried about that unequal variances if
-- Choose an answer --
a. The ratio of the variances was 2 to 1 and you had more than 30 participants per group
b. The ratio of the variances was 2 to 1 and you had fewer than 30 participants per group
10. More questions are raised by experiments that
-- Choose an answer --
a. Obtain significant results
b. Obtain results that are not significant
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