(A)
H0: Null Hypothesis: Radio format preference does not differ by age group
HA: Research Hypothesis: Radio format preference differ by age group
(B) All five steps:
Step 1:Identify X's and Y's:
Here, X is the age and Y is Radio format preference
Step 2: Calculate the margin summaries
Here, we get the Observed Frequencies as follows:
Radio Format Preference | Young adult | Middle age | Older adult | Total |
Music | 14 | 10 | 3 | 27 |
News - Talk | 41 | 5 | 11 | 57 |
Sports | 7 | 9 | 5 | 21 |
Total | 62 | 24 | 19 | 105 |
Step 3: Complete the Contingency Table.
Here, the Expected Frequencies are got as follows:
Radio Format Preference | Young adult | Middle age | Older adult | Total |
Music | 62X27/105=15.94 | 6.17 | 4.89 | 27 |
News - Talk | 33.66 | 13.03 | 10.31 | 57 |
Sports | 12.40 | 4.80 | 3.80 | 21 |
Total | 62 | 24 | 19 | 105 |
Step 4: Calculate the observed value based on the Contingency Table
Observed Frequency (O) | Expected Frequency (E) | (O - E)2/E |
14 | 15.94 | 0.24 |
10 | 6.17 | 2.38 |
3 | 4.89 | 0.73 |
41 | 33.66 | 1.60 |
5 | 13.03 | 4.95 |
11 | 10.31 | 0.05 |
7 | 12.40 | 2.35 |
9 | 4.80 | 3.68 |
5 | 3.80 | 0.38 |
Total = = | 16.34 |
Step 5 :
Use standard Tables to compare if observed to critical :
Here,
= 0.05
ndf = (r - 1) X (c - 1)
= (3 - 1) X (3 - 1) = 4
From Table, critical value of = 9.4877
Since calculated value of = 16.34 is greater than critical value of = 9.4877, the difference is significant. Reject null hypothesis.
Conclusion:
The data do not support the claim that Radio format preference does
not differ by age group
(C)
Based on the enrollments, the three by three chi square test is used to test the null hypothesis that Radio format preference does not differ by age group at .05 level of significance.
(d)
The researcher should conclude from the analysis that Radio format preference differ by age group
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