Dr. Smith believes that there may be a difference in grades based on if the student is a senior, junior, sophomore, or freshman. The results are shown in Table 2. Are Dr. Smith’s grade unequally distributed across grade levels?
Table 2: Dr. Smith’s Grade Distribution by Grade Level |
|||||
Grade |
Senior |
Junior |
Sophomore |
Freshman |
Total |
A |
10 |
7 |
1 |
1 |
|
B |
20 |
20 |
2 |
2 |
|
C |
3 |
3 |
4 |
4 |
|
D |
1 |
2 |
8 |
1 |
|
F |
1 |
3 |
3 |
4 |
|
Total |
1A.Conduct a chi-square test at the α = .05 level (the table provided below is to help in your analysis).
1B Do you reject or retain the null hypothesis? Why?
senior | junior | sophomore | freshman | ||
A | 10 ( 6.65) | 7 (6.65) | 1 (3.42) | 1 (2.28) | 19 |
B | 20 (15.40) | 20 (15.40) | 2 (7.92) | 2 (5.28) | 44 |
C | 3 (4.9) | 3 (4.9) | 4 (2.52) | 4 (1.68) | 14 |
D | 1 (4.2) | 2 (4.2) | 8 (2.16) | 1 (1.44) | 12 |
F | 1 (3.85) | 3 (3.85) | 3 (1.98) | 4 (1.32) | 11 |
35 | 35 | 18 | 12 | total= 100 |
expected frequency in (i,j) cell = Rowsum_{i}*Columnsum_{j} / total
Expected freq is written in brackets .
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