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 346 525 260 1131
Sexual 212 93 73 378
Total 558 618 333 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)

Following table shows the conditional distribution :

Magazine readership
Model dress Women Men General interest
Not sexual ((346*100)/558)=62.01% ((525*100)/618)=84.95% ((260*100)/333)=78.08%
Sexual ((212*100)/558)=37.99% ((93*100)/618)=15.05% ((73*100)/333)=21.92%
Total 100% 100% 100%

Following is the graph:


(b)

Following table shows the outcome of chi square independence test generated by excel:

Chi-square Contingency Table Test for Independence
  
Women   Men   General interest   Total  
Not sexual Observed   346 525 260 1131
Expected   418.22 463.19 249.58 1131.00
O - E   -72.22 61.81 10.42 0.00
(O - E)² / E   12.47 8.25 0.43 21.15
% of row   30.6% 46.4% 23.0% 100.0%
% of column 62.0% 85.0% 78.1% 75.0%
   % of total   22.9% 34.8% 17.2% 75.0%
Sexual Observed   212 93 73 378
Expected   139.78 154.81 83.42 378.00
O - E   72.22 -61.81 -10.42 0.00
(O - E)² / E   37.32 24.68 1.30 63.29
% of row   56.1% 24.6% 19.3% 100.0%
% of column 38.0% 15.0% 21.9% 25.0%
% of total   14.0% 6.2% 4.8% 25.0%
Total Observed   558 618 333 1509
Expected   558.00 618.00 333.00 1509.00
O - E   0.00 0.00 0.00 0.00
(O - E)² / E   49.79 32.92 1.74 84.45
% of row   37.0% 41.0% 22.1% 100.0%
% of column 100.0% 100.0% 100.0% 100.0%
% of total   37.0% 41.0% 22.1% 100.0%
84.45 chi-square
2 df
4.59E-19 p-value

Since p-value is very small (less than 0.01)so there is very strong evidence that target audience affects model dress.

Conclusion:

Reject the null hypothesis, there is significant evidence of an association between target audience and model dress.


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