Step 1:
H0: Proportion of group Pfres = 0.10 , Psoph = 0.20 , Pjun = 0.40 , Psen = 0.30
Ha: Population proportions differ from the values stated in the null hypothesis
We will conduct Chi-Square test for Goodness of Fit to test the hypothesis.
Step 2: Test statistics
Create below table based on observed and expected frequencies.
Group | Observed values (fo) |
Expected Proportions | Expected (fe) |
(fo-fe)2/fe |
Freshman | 14 | 0.10 | 10 | 1.600 |
sophomores | 19 | 0.20 | 20 | 0.050 |
juniors | 51 | 0.40 | 40 | 3.025 |
seniors | 16 | 0.30 | 30 | 6.533 |
Sum | 100 | 1.00 | 100 | 11.208 |
Step 3: Rejection region
Level of significane = 0.10
d f =4−1=3
critical is equal to 6.251
Since ( 11.208) is greater than critical (6.251) , we reject the Null hypothesis.
We have sufficient evidence to belive that the population proportions for all four groups differ from that stated in the Null hypothesis.
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