Test Yourself

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1. One important step in calculating the t test is to determine the difference between the average scores of the two groups.
2. If the df for the t test is 10, the number of scores analyzed was
3. If df = 14, t = 5, and p < .05, the results were statistically significant.
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
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
6. A t test should be used if your dependent measure is qualitative (e.g., 1 = looked nervous, 2= looked happy, 3= looked calm).
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
8. Which of the following would be a more serious problem?
9. If you had two groups that had unequal variances, you would be least worried about that unequal variances if
10. More questions are raised by experiments that




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