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APPLIED STATISTICS H. W, #8 Due on: Tuesday, March 26 2019 A radio executive considering a switch in his stations format col
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Answer #1

(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 \chi ^{2} 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 = \chi ^{2} = 16.34

Step 5 :

Use standard Tables to compare if observed \chi ^{2} to critical \chi ^{2}:

Here,

\alpha = 0.05

ndf = (r - 1) X (c - 1)

    = (3 - 1) X (3 - 1) = 4

From Table, critical value of \chi ^{2} = 9.4877

Since calculated value of \chi ^{2} = 16.34 is greater than critical value of \chi ^{2} = 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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