Question 7. A television station wishes to study the
relationship between viewership of its 11 p.m. news program and
viewer age (18 years or less, 19 to 35, 36 to 54, 55 or older). A
sample of 250 television viewers in each age group is randomly
selected, and the number who watch the station’s 11 p.m. news is
found for each sample. The results are given in the table
below.
Age Group | |||||
Watch 11 p.m. News? |
18 or less | 19 to 35 | 36 to 54 | 55 or Older | Total |
Yes | 37 | 48 | 67 | 84 | 236 |
No | 213 | 202 | 183 | 166 | 764 |
Total | 250 | 250 | 250 | 250 | 1,000 |
(a) Let p1, p2, p3, and p4 be the proportions of all viewers in each age group who watch the station’s 11 p.m. news. If these proportions are equal, then whether a viewer watches the station’s 11 p.m. news is independent of the viewer’s age group. Therefore, we can test the null hypothesis H0 that p1, p2, p3, and p4 are equal by carrying out a chi-square test for independence. Perform this test by setting α = .05. (Round your answer to 3 decimal places.)
X^2 = ____
a)
Applying chi square test of independence: |
Expected | Ei=row total*column total/grand total | <18 | 19-35 | 36-54 | >55 | Total |
Yes | 59.00 | 59.00 | 59.00 | 59.00 | 236 | |
No | 191.00 | 191.00 | 191.00 | 191.00 | 764 | |
total | 250 | 250 | 250 | 250 | 1000 | |
chi square χ2 | =(Oi-Ei)2/Ei | <18 | 19-35 | 36-54 | >55 | Total |
Yes | 8.203 | 2.051 | 1.085 | 10.593 | 21.9322 | |
No | 2.534 | 0.634 | 0.335 | 3.272 | 6.7749 | |
total | 10.7374 | 2.6844 | 1.4198 | 13.8655 | 28.7071 | |
test statistic X2 = | 28.707 |
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