I am supposed to give an equal number of grades to each letter value. Based on the sample data in the Grades tab, can we reject the claim that my grades are equally distributed?
Select one: a. Yes, the chi value of 17.5 is greater than chi critical of 9.5. b. No, the chi value of 17.5 is greater than chi critical of 9.5. c. Yes, the p value is high enough to reject that claim. d. No, the sample is too small and there are not enough different grade categories.
Background Info:
A | B | C | D | F | |
Actual Grades | 20 | 10 | 35 | 15 | 20 |
Expected | 20 | 20 | 20 | 20 | 20 |
applying chi square test:
relative | observed | Expected | residual | Chi square | |
category | frequency | Oi | Ei=total*p | R2i=(Oi-Ei)/√Ei | R2i=(Oi-Ei)2/Ei |
A | 0.200 | 20 | 20.00 | 0.00 | 0.000 |
B | 0.200 | 10 | 20.00 | -2.24 | 5.000 |
C | 0.200 | 35 | 20.00 | 3.35 | 11.250 |
D | 0.200 | 15 | 20.00 | -1.12 | 1.250 |
F | 0.200 | 20 | 20.00 | 0.00 | 0.000 |
total | 1.000 | 100 | 100 | 17.500 |
a. Yes, the chi value of 17.5 is greater than chi critical of 9.5.
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