which demographic groups should be the radio station market. In particular, the station believes that there is a difference between men and women in terms of their opinions of jazz music. By randomly sampling men and women from the Houston metropolitan region, you calculate the results in Table 1. You also calculate a gamma of .064 and a chi-square of 1.99 with 2 degrees of freedom from the table. Note that the measure of association (gamma) of .064 indicates a very weak relationship between gender and like of jazz. In a paragraph of at least five to six sentences, discuss whether the percent distribution of the cross-tab, the measure of association, and chi-square supports, or does not support, the station’s hypothesis. Ensure that you mention hypothesis how the IV percent distribution changes in relationship to the DV what level of significance you used, and how the chi-square obtained from the sample compares to its critical value whether the results obtained from the sample are statistically significant, and what your results indicate (reject, or do not reject, the hypothesis) Table 1: Relationship between Like of Jazz and Gender Opinion of Jazz Men Women Like 52.6% 49.0% Neutral 24.9% 26.1% Dislike 22.5% 25.0% TOTAL 100% 100%
which demographic groups should be the radio station market. In particular, the station believes that there is a difference between men and women in terms of their opinions of jazz music. By randomly sampling men and women from the Houston metropolitan region, you calculate the results in Table 1. You also calculate a gamma of .064 and a chi-square of 1.99 with 2 degrees of freedom from the table. Note that the measure of association (gamma) of .064 indicates a very weak relationship between gender and like of jazz.
In a paragraph of at least five to six sentences, discuss whether the percent distribution of the cross-tab, the measure of association, and chi-square supports, or does not support, the station’s hypothesis. Ensure that you mention
- hypothesis
- how the IV percent distribution changes in relationship to the DV
- what level of significance you used, and how the chi-square obtained from the sample compares to its critical value
- whether the results obtained from the sample are statistically significant, and what your results indicate (reject, or do not reject, the hypothesis)
Table 1: Relationship between Like of Jazz and Gender
|
Opinion of Jazz |
Men |
Women |
|
Like |
52.6% |
49.0% |
|
Neutral |
24.9% |
26.1% |
|
Dislike |
22.5% |
25.0% |
|
TOTAL |
100% |
100% |
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