In: Statistics and Probability
In what ways do advertisers in magazines use sexual imagery to appeal to youth? One study classified each of 1509 full-page or larger ads as "not sexual" or "sexual," according to the amount and style of the dress of the male or female model in the ad. The ads were also classified according to the target readership of the magazine. Here is the two-way table of counts.
Magazine readership | ||||
Model dress | Women | Men | General interest | Total |
Not sexual | 355 | 507 | 244 | 1106 |
Sexual | 214 | 92 | 97 | 403 |
Total | 569 | 599 | 341 | 1509 |
(A) Perform the significance test that compares the model dress for
the three categories of magazine readership. Summarize the results
of your test and give your conclusion. (Use α = 0.01.
Round your value for χ2 to two decimal places,
and round your P-value to four decimal places.)
χ2 = | |
P-value = |
(B) Conclusion, choose the best answer from the options below
Reject the null hypothesis. There is not significant evidence of an association between target audience and model dress.
Fail to reject the null hypothesis. There is not significant evidence of an association between target audience and model dress.
Fail to reject the null hypothesis. There is significant evidence of an association between target audience and model dress.
Reject the null hypothesis. There is significant evidence of an association between target audience and model dress.
(C) All of the ads were taken from the March, July, and November
issues of six magazines in one year. Discuss this fact from the
viewpoint of the validity of the significance test and the
interpretation of the results. Choose the best answer from the
options below;
This is an SRS. This gives us no reason to believe our conclusions are suspect.
This is not an SRS. This gives us reason to believe our conclusions might be suspect.
This is not an SRS. This gives us no reason to believe our conclusions are suspect.
This is an SRS. This gives us reason to believe our conclusions might be suspect.
Observed Frequencies | ||||
Women | Men | General interest | Total | |
Not sexual | 355 | 507 | 244 | 1106 |
Sexual | 214 | 92 | 97 | 403 |
Total | 569 | 599 | 341 | 1509 |
Expected frequency of a cell = sum of row*sum of column / total sum
Expected Frequencies | ||||
Women | Men | General interest | Total | |
Not sexual | 417.0404 | 439.0285 | 249.9311 | 1106 |
Sexual | 151.9596 | 159.9715 | 91.0689 | 403 |
Total | 569 | 599 | 341 | 1509 |
(fo-fe)^2/fe | |||
Not sexual | 9.2294 | 10.5235 | 0.1407 |
Sexual | 25.3292 | 28.8809 | 0.3863 |
Null and Alternative hypothesis:
Ho: factors are independent.
H1: factor are dependent.
Test statistic:
χ² = ∑ ((fo-fe)²/fe) = 74.49
df = (r-1)(c-1) = 2
p-value = CHISQ.DIST.RT(74.49, 2) = 0.0000
Decision:
p-value < α, Reject the null hypothesis.
(B) Conclusion:
Reject the null hypothesis. There is significant evidence of an association between target audience and model dress.
(C) This is not an SRS. This gives us reason to believe our conclusions might be suspect.