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Students Scores 1 77 2 73 3 79 4 91 5 80 6 71 7 89 8 62 9 70 10 91 11 78 12
Students | Scores |
1 | 77 |
2 | 73 |
3 | 79 |
4 | 91 |
5 | 80 |
6 | 71 |
7 | 89 |
8 | 62 |
9 | 70 |
10 | 91 |
11 | 78 |
12 | 74 |
13 | 73 |
14 | 76 |
15 | 74 |
16 | 83 |
17 | 75 |
18 | 88 |
19 | 74 |
20 | 69 |
21 | 84 |
22 | 93 |
23 | 76 |
24 | 68 |
25 | 88 |
26 | 71 |
27 | 74 |
28 | 76 |
29 | 80 |
30 | 84 |
31 | 81 |
32 | 88 |
33 | 76 |
34 | 87 |
35 | 83 |
36 | 82 |
37 | 83 |
38 | 80 |
39 | 92 |
40 | 87 |
41 | 79 |
42 | 90 |
43 | 84 |
44 | 84 |
45 | 82 |
46 | 71 |
47 | 82 |
48 | 84 |
49 | 79 |
50 | 72 |
(10 points) A statistics professor has just given a final examination in his linear models course. He is particularly interested in determining whether the distribution of 50 exam scores is normally distributed. The data are shown in the table below. a. Create a histogram of the data. Create a Q-Q plot of the data. Is there any evidence that the data is not normally distributed? b. Perform a chi-square test for normality. Perform the Lilliefors test. Report and interpret the results of both tests. (10 points) A statistics professor has just given a final examination in his linear models course. He is particularly interested in determining whether the distribution of 50 exam scores is normally distributed. The data are shown in the table below. a. Create a histogram of the data. Create a Q-Q plot of the data. Is there any evidence that the data is not normally distributed? b. Perform a chi-square test for normality. Perform the Lilliefors test. Report and interpret the results of both tests
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