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(a) Descriptive Statistics for the quantitative variables follow: Variable Sample Mean Std Std Minimum Maximum Skewness Size Dev Error Age 410 30.112 4.024 0.199 19.000

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(a) Descriptive Statistics for the quantitative variables follow: Variable Sample Mean Std Std Minimum Maximum Skewness Size Dev Error Age 410 30.112 4.024 0.199 19.000 42.000 -0.03 Investments 410 28538 15811 781 0.000 133400 1.71 Transactions 410 5.973 3.101 0.153 0.000 21.000 1.21 Household 410 74460 34818 1720 18200 322500 2.01 Income (b) Descriptive Statistics for the qualitative variables follow: Gender Male: 229 Proportion male: Plan RE. purchase Yes: 181 Proportion yes: Broadband access Yes: 256 Proortion es: . Have Children Yes: 219 Proportion yes: .5341 1. Develop 95% confidence intervals for the mean age and household income of subscribers. (2 points) 2. Develop 95% confidence intervals for the proportion of subscribers who have broadband access at home and the proportion of subscribers who have children. (2 points) 3. Would Young Professional your conclusion with statistical data. (2 points) 4. Would this magazine be a good place to advertise for companies selling educational software and computer games for young children? (2 points) 5. Comment on the types of articles you believe would be of interest to readers of Young Professional. (2 points) be a good advertising outlet for online brokers? Justify Case study: Young Professional magazine Young Professional magazine was developed for a target audience of recent college graduates who are in their first 10 years in a businessiprofessional career. In its two years of publication, the magazine has been fairly successful. Now the publisher is interested in expanding the magazine's advertising base. Potential advertisers continually ask about the demographics and interests of subscribers to Young Professional. To collect this information, the magazine commissioned a survey to develop a profile of its subscribers. The survey results will be used to help the magazine choose articles of interest and provide advertisers with a profile of subscribers. As a new employee of the magazine, you have been asked to help analyze the survey results. TABLE 8.6 Partial Survey Results for Young Professional Magazine Realestate Value of Numberof Broadband Household Age Gender purchases investments transactions access income no 12200 4 75200 no 12400 T0300 4 5 5 31 female yes 15100 5 no 73300 yes Prepare a managerial report summarizing the results of the survey. In addition to statistical summaries, discuss how the magazine might use these results to attract advertisers. You might also comment on how the survey results could be used by the magazine's editors to identify topics that would be of interest to readers. Your report should address the following issues. but do not limit your analysis to just these areas

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