Question
Test Score Class Time 141 A 92 A 97 A 106 A 107 A 83 A 127 A 109 A 108 A 104 A 87
Test Score | Class Time |
141 | A |
92 | A |
97 | A |
106 | A |
107 | A |
83 | A |
127 | A |
109 | A |
108 | A |
104 | A |
87 | B |
118 | B |
124 | B |
135 | B |
110 | B |
127 | B |
114 | B |
102 | B |
92 | B |
97 | B |
Data Set 1
1. Was there a significant difference in the mean test scores of students in the morning and afternoon classes?
Data Set 2
Participant | VIQ | PIQ |
1 | 80 | 70 |
2 | 100 | 80 |
3 | 110 | 90 |
4 | 120 | 90 |
5 | 70 | 70 |
6 | 100 | 110 |
7 | 110 | 80 |
8 | 120 | 120 |
9 | 110 | 80 |
10 | 90 | 70 |
2. Was there is a significant difference in individuals' verbal and performance IQ scores?
3. What can be concluded about the contribution of VIQ to PIQ based on the correlation between them, i.e. what percentage of variation in PIQ is explained VIQ? (Hint: See discussion of the coefficient of determination in chapter 14)
4. If VIQ predicts PIQ, would it also be correct to state that PIQ predicts VIQ?
Data Set 3
5. What main effects were identified in the two-way ANOVA?
6. Was the interaction of the two factors statistically significant?
7. What can be concluded about the effects of different types of test preparation on composite SAT scores on the basis of these data?
8. Assume that Data Set 3 is data from an authentic study. If a friend asked you what kind of test prep programs are most beneficial, what advice would you offer?
Training | Composite SAT | Math |
A | 810 | 2 |
A | 900 | 2 |
A | 1270 | 3 |
A | 1160 | 2 |
A | 1040 | 1 |
A | 980 | 2 |
A | 1090 | 1 |
A | 1140 | 2 |
A | 1010 | 2 |
A | 1350 | 3 |
B | 1240 | 2 |
B | 1400 | 2 |
B | 1260 | 1 |
B | 990 | 2 |
B | 1170 | 2 |
B | 1330 | 3 |
B | 1230 | 2 |
B | 1510 | 3 |
B | 1110 | 1 |
B | 1300 | 3 |
C | 1310 | 3 |
C | 1510 | 3 |
C | 1350 | 2 |
C | 950 | 1 |
C | 1210 | 1 |
C | 1450 | 2 |
C | 1250 | 1 |
C | 1600 | 3 |
C | 1130 | 2 |
C | 1420 | 2 |
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