In: Statistics and Probability
An observed frequency distribution of the final grades of MAT121 is as follows:
Final Grade: A / A− / B+ / B / B− / C+ / C / C− / D / F
Frequency (O): 23 / 26 / 23 /19 / 24 / 29 / 21 / 22 / 24 / 48
At the 0.05 significance level, test the claim that the final grades of MAT121 occur with the same frequency.
The test statistic is χ2=______________
Solution:
Here, we have to use chi square test for goodness of fit.
Null hypothesis: H0: Each grade has same frequency.
Alternative hypothesis: Ha: Each grade doesn’t have same frequency.
We are given level of significance = α = 0.05
Test statistic formula is given as below:
Chi square = ∑[(O – E)^2/E]
Where, O is observed frequencies and E is expected frequencies.
We are given
N = 10 grades
Degrees of freedom = df = N – 1 = 10 – 1 = 9
α = 0.05
Critical value = 16.91897762
(by using Chi square table or excel)
Calculation tables for test statistic are given as below:
| 
 Grade  | 
 O  | 
 E  | 
 (O - E)^2/E  | 
| 
 A  | 
 23  | 
 25.9  | 
 0.324710425  | 
| 
 A-  | 
 26  | 
 25.9  | 
 0.0003861  | 
| 
 B+  | 
 23  | 
 25.9  | 
 0.324710425  | 
| 
 B  | 
 19  | 
 25.9  | 
 1.838223938  | 
| 
 B-  | 
 24  | 
 25.9  | 
 0.139382239  | 
| 
 C+  | 
 29  | 
 25.9  | 
 0.371042471  | 
| 
 C  | 
 21  | 
 25.9  | 
 0.927027027  | 
| 
 C-  | 
 22  | 
 25.9  | 
 0.587258687  | 
| 
 D  | 
 24  | 
 25.9  | 
 0.139382239  | 
| 
 F  | 
 48  | 
 25.9  | 
 18.85752896  | 
| 
 Total  | 
 259  | 
 259  | 
 23.50965251  | 
Test Statistic = Chi square = ∑[(O – E)^2/E] = 23.50965251
χ2 statistic = 23.50965251
P-value = 0.00514771
(By using Chi square table or excel)
P-value < α = 0.05
So, we reject the null hypothesis
There is not sufficient evidence to conclude that each grade has same frequency.