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Yvonne LX C Chegg Stud C Self-effi Lecture Not A C A C GA Class20 GA Class21-Ch

ID: 3153386 • Letter: Y

Question

Yvonne LX C Chegg Stud C Self-effi Lecture Not A C A C GA Class20 GA Class21-Ch Assig 8 Pr 9 Pr Deg y X www.webassign.ne Vive Peru I Volunteer Log StarRez Image3D-Build Eve WM My Account l World Edits A D2L Apps Wolfram Alph SMART NREIP PACCpd Poultry S 10 point ro Stato 9. 018. My Not 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 347 506 254 07 83 03 402 Tota 563 589 357 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.) 413.016 x Sexual 140.984 b) perfor he sig st tha he model d for the th dership. S ts of you nd gi 0.01 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 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 (c) All of the ads e taken from the March, July, and November issues of six magazines in one om the point of the validity of the significan test and the interpretation of the results year Discuss this fact This is an SRS. This gives us no reason to believe our conclusions are suspect. This is not 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 an SRS. This gives us reason to believe our conclusions might be suspect Submit A m Cortana. Ask me anything 4/11/2016

Explanation / Answer

a)

Doing an Expected Value Chart,          
          
413.0159046   432.0894632   261.8946322  
149.9840954   156.9105368   95.10536779  

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b)
          
Using chi^2 = Sum[(O - E)^2/E],          
          
chi^2 =    87.95949029   [ANSWER, chi^2]  
          
With df = (a - 1)(b - 1), where a and b are the number of categories of each variable,          
          
a =    3      
b =    2      
          
df =    2      
          
hence, the p value is          
          
P =    7.94034*10^-20       [ANSWER, P VALUE]

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As P < 0.01, then

Conclusion:

OPTION A. Reject the null hypothesis. There is a significant evidence... [ANSWER]

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c)

As we can see, the seasons may have an effect on the ads. Hence,

OPTION C: This is not an SRS. This gives us reason to believe our conclusions might be suspect. [ANSWER, C]