Lucky Column 1
Suppose you scored a 3.5 on the last quiz. The mean was 4.0, and the standard deviation was 0.25. What was your z-score?
-2; You scored 2 standard deviations below the mean
Suppose you scored a 4.5 on the last quiz. The mean was 4.25, and the standard deviation was 0.25. What was your z-score? What does that tell us?
1 - You scored 1 SD above the mean
Suppose you scored a 3 on the last quiz. The mean was 4, and the standard deviation was 0.25. What was your T-score?
10
Suppose you have a positively skewed distribution of scores. The mean was 70, and the standard deviation was 5. At least what percent of scores fell between a 60 and 80?
75%
Suppose you and 5 other people took a quiz. You scored a 10. The other people scored 5, 7, 10, 8, and 15. What was your percentile?
66.67%
Two-hundred people take an exam, and you know that five of them scored 87, 87, 90, 93, and 93. What is the standard deviation?
3
Two-hundred people take an exam, and you know that five of them scored 87, 87, 90, 93, and 93. They are asked to take an alternate form of the exam (e.g., Form B), and they get the exam same scores. What is the standard error of measurement?
0
One-thousand people took a test, and you know three of them scored 1, 5, and 9. They are asked to re-take the test, and they all score one point higher than their first score. What is the standard error of measurement?
0
Two-hundred people take an exam, and you know that five of them scored 87, 87, 90, 93, and 93. They are asked to take an alternate form of the exam (e.g., Form B), and there is no relationship between their scores on the different test forms. One of the five test-rakers scored an 87. What is the 68% confidence interval around their score?
84 to 90
One-thousand people took a test, and you know three of them scored 1, 5, and 9. They are asked to re-take the test, and there is no relationship between scores at both time points. One of the three test-rakers scored a 5. What is the 95% confidence interval around their score?
-3 to 13; Note: 1.96 was rounded to 2, so your # will be slightly different if you used 1.96