Question: 1. Develop appropriate descriptive statistics to summarize the data. 2. Develop 95% confidence intervals for the mean age and household income of subscribers. 3. Develop

1. Develop appropriate descriptive statistics to summarize the data.
2. Develop 95% confidence intervals for the mean age and household income of subscribers.
3. Develop 95% confidence intervals for the proportion of subscribers who have broadband access at home and the proportion of subscribers who have children.
4. Would Young Professional be a good advertising outlet for online brokers? Justify your conclusion with statistical data.
5. Would this magazine be a good place to advertise for companies selling educational software and computer games for young children?
6. Comment on the types of articles you believe would be of interest to readers of Young Professional.

Young Professional magazine was developed for a target audience of recent college graduates who are in their first 10 years in a business/professional 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.

1. Develop appropriate descriptive statistics to summarize the data. 2.

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 theseareas.

Real Estate Value of Number of Broadband Houschold Age Gender Purchases Investments($) Transactions Access Income(S) Children 12200 12400 38 Female 30 Male 41 Female 28 Female 31 Female Yes Yes 75200 70300 48200 95300 73300 4 0 19600 15100 0 0 Yes 0) Yes

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1 Descriptive Statistics for the quantitative variables follow Variable N Mean SE Mean StDev Minimum Maximum Skewness Age 410 30112 0199 4024 19000 42... View full answer

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