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 | 357 | 524 | 245 | 1126 |
Sexual | 211 | 98 | 74 | 383 |
Total | 568 | 622 | 319 | 1509 |
(a) Summarize the data numerically and graphically. (Compute the conditional distribution of model dress for each audience. Round your answers to three decimal places.)
Women | Men | General | ||
Not sexual | ||||
Sexual | ||||
(b) 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 = |
Conclusion
Fail to reject the null hypothesis. There is not 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. 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 not 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.
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. This is not an SRS. This gives us reason to believe our conclusions might be suspect.This is an SRS. This gives us no reason to believe our conclusions are suspect.
Tabulated Statistics: Model dress, Worksheet columns
Rows: Model dress Columns: Worksheet columns
Women | Men | General interest |
All | |
Not sexual | 357.000 | 524.000 | 245.000 | 1126 |
Expected count | 423.836 | 464.130 | 238.034 | |
Sexual | 211.000 | 98.000 | 74.000 | 383 |
Expected count | 144.164 | 157.870 | 80.966 | |
All | 568.000 | 622.000 | 319.000 | 1509 |
Cell Contents
Count
Expected count
Chi-Square Test
Chi-Square | DF | P-Value | |
Pearson | 72.756 | 2 | 0.0000 |
===============================================
b)
p-value =0.0000
==============================================
conclusion
.Reject the null hypothesis. There is significant evidence of an association between target audience and model dress.
===============================================
c) This is an SRS. This gives us reason to believe our conclusions might be suspect.