A teacher figures that final grades in the chemistry department are distributed as: A, 25%; B, 25%;C, 40%;D, 5%; F, 5%. At the end of a randomly selected semester, the following number of grades were recorded.
Grade | A | B | C | D | F |
number of grade | 42 | 36 | 60 | 14 | 8 |
a. Find the expected absences for each grade If you have multiple answer, use comma to seperate each answer.
b. Use α= 0.01 to test the claim that the grade distribution has changed.
H0
H1
P-value
decision
conclusion
a)
A | B | C | D | F | Total | |
Observed frequency | 42 | 36 | 60 | 14 | 8 | 160 |
Expected Frequency | 0.25*160=40 | 0.25*160=40 | 04*160=64 | 0.05*160=8 | 0.05*160=8 | |
chi square contribution | 0.1 | 0.4 | 0.25 | 4.5 | 0 |
b) We will be conducting Chi square test here
Grade distribution has not changed
Grade distribution has changed
Test statistic :
degree of freedom = number of category - 1 = 5 -1 =4
P value for chi square test = 0.2626
Since the P value > significance level 0.01, we shall reject the null hypothesis.
hence we have evidence to say that the Grade distribution has changed
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