Question

In: Statistics and Probability

In what ways do advertisers in magazines use sexual imagery to appeal to youth? One study...

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 354 504 244 1102
Sexual 216 88 103 407
Total 570 592 347 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 =

Solutions

Expert Solution

a) Conditional distribution of model dress for each audience:

Women Men General interest
Not sexual 354 / 570 = 0.621 504 / 592 = 0.851 244 / 347 = 0.703
Sexual 216 / 570 = 0.379 88 / 592 = 0.149 103 / 347 = 0.297

b)

Observed Frequencies
Women Men General interest Total
Not sexual 354 504 244 1102
Sexual 216 88 103 407
Total 570 592 347 1509
Expected Frequencies
Women Men General interest Total
Not sexual 570 * 1102 / 1509 = 416.2624 592 * 1102 / 1509 = 432.3287 347 * 1102 / 1509 = 253.4089 1102
Sexual 570 * 407 / 1509 = 153.7376 592 * 407 / 1509 = 159.6713 347 * 407 / 1509 = 93.5911 407
Total 570 592 347 1509
(fo-fe)²/fe
Not sexual (354 - 416.2624)²/416.2624 = 9.3129 (504 - 432.3287)²/432.3287 = 11.8816 (244 - 253.4089)²/253.4089 = 0.3493
Sexual (216 - 153.7376)²/153.7376 = 25.2158 (88 - 159.6713)²/159.6713 = 32.1709 (103 - 93.5911)²/93.5911 = 0.9459

Test statistic:

χ² = ∑ ((fo-fe)²/fe) = 79.88

df = (r-1)(c-1) = 2

p-value:

p-value = CHISQ.DIST.RT(79.8765, 2) = 0.0000

Decision:

p-value < α, Reject the null hypothesis.


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