Last school year, the student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification. Freshmen 83 Sophomores 68 Juniors 85 Seniors 64 We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. Refer to Exhibit 11-2. The calculated value for the test statistic equals
Solution:
Given:
Expected % | Oi: Observed frequency | |
Freshman | 30% | 83 |
Sophomore | 24% | 68 |
Junior | 26% | 85 |
Senior | 20% | 64 |
300 |
We have to find the calculated value for the test statistic.
Chi square test statistic for goodness of fit
Where
Oi = Observed Counts
Ei =Expected Counts = N * % = 300 * % values.
Thus we need to make following table
Expected % | Oi: Observed frequency | Ei: Expected frequencies | Oi^2/Ei | |
---|---|---|---|---|
Freshman | 30% | 83 | 90 | 76.544 |
Sophomore | 24% | 68 | 72 | 64.222 |
Junior | 26% | 85 | 78 | 92.628 |
Senior | 20% | 64 | 60 | 68.267 |
N = 300 |
Thus
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