Four sections of the same statistics course are taught by four teachers. Using the data given below and a level of significance of 5%
(a) Are the average grades of the four classes significantly different?
(b) Use the Duncan test to help decide which classes differed in mean grade.
Class 1 |
78 |
83 |
65 |
74 |
91 |
83 |
- |
- |
Class 2 |
92 |
81 |
87 |
76 |
94 |
85 |
90 |
- |
Class 3 |
63 |
71 |
65 |
68 |
83 |
- |
- |
- |
Class 4 |
94 |
87 |
89 |
92 |
90 |
89 |
85 |
93 |
a)
ANOVA | |||||
Grade | |||||
Sum of Squares | df | Mean Square | F | Sig. | |
Between Groups | 1397.565 | 3 | 465.855 | 10.759 | .000 |
Within Groups | 952.589 | 22 | 43.300 | ||
Total | 2350.154 | 25 |
Ans: The estimated p-value of F-statistic is 0.000. Hence, we can conclude that at least a pair of the average grades of the four classes is significantly different at 0.05 level of significance.
b)
Ans: From the above table of Duncan, we can conclude that the class 3 has statistically significant from class 1,2 and 3 at 0.05 level of significance from subset 1. From subset 2, the class 2 is statistically significant from 1 and 4, and class 2 have statistically significant from class 1 and 4. Similarly, from subset 3, class 2 has statistically significant from class 3 and 1, and class 4 has statistically significant from class 3 and 1.
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