Question 2 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 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 Some of the survey questions follow What is your age Are you Male, Female Do you plan to make any real estate purchases in the next two years Yes, No What is the approximate total value of financial investments, exclusive of your home, owned by you or members of your household How many stock bond mutual fund transactions have you made in the past year Do you have broadband access to the Internet at home Yes, No Please indicate your total household income last year Do you have children Yes, No Age Gender Real Estate Purchases Value of Investments ($) Number of Transactions Broadband Access Household Income ($) Have Children 38 Female No 12200 4 Yes 75200 Yes 30 Male No 12400 4 Yes 70300 Yes 41 Female No 26800 5 Yes 48200 No 28 Female Yes 19600 6 No 95300 No 31 Female Yes 15100 5 No 73300 Yes 32 Male No 39700 3 Yes 123400 Yes 32 Male Yes 21900 2 Yes 73900 Yes 26 Female Yes 41900 2 Yes 54300 Yes 26 Male Yes 16100 4 Yes 93100 No 34 Female Yes 18400 11 Yes 60100 No 33 Female No 33800 3 No 48600 No 35 Female Yes 15500 6 No 43500 No 28 Female No 17300 7 Yes 73600 Yes 30 Male No 47900 5 Yes 68200 Yes 30 Female No 28200 3 No 61900 Yes 30 Male Yes 19400 6 No 57600 No 33 Male Yes 31000 12 No 82300 No 28 Male No 21300 6 No 64600 Yes 27 Female No 21300 10 Yes 61100 Yes 23 Female No 21300 7 Yes 31200 Yes 30 Female No 34100 6 Yes 92600 No 28 Male No 32600 7 Yes 68300 No 41 Male Yes 0 10 Yes 35100 No 29 Male Yes 20800 10 Yes 85700 No 33 Female Yes 23100 6 Yes 140300 Yes 30 Male No 39800 9 Yes 108200 Yes 29 Female No 17900 2 No 61100 No 33 Male No 33300 2 No 33900 Yes 30 Female Yes 21800 8 Yes 54400 Yes 30 Male No 54000 7 Yes 61200 No 36 Female Yes 34800 12 No 58000 Yes 33 Female Yes 36100 7 Yes 90700 Yes 28 Female Yes 44300 5 Yes 95200 No 28 Male No 21400 5 No 50500 Yes 28 Male Yes 8600 6 Yes 33800 Yes 35 Male No 23200 3 No 147400 No 31 Male No 24800 4 No 92600 Yes 33 Female No 26600 5 Yes 66200 No 32 Male No 33100 8 No 45700 No 28 Male No 27000 4 No 60500 Yes 27 Male No 48700 6 No 110600 No 30 Female Yes 17100 4 No 60300 Yes 29 Male No 19900 6 No 75700 No 28 Male No 13200 9 No 70100 Yes 29 Female Yes 32400 6 No 42100 Yes 32 Female No 14200 5 Yes 41700 Yes 33 Male No 20100 5 No 96900 No 23 Male Yes 32000 5 Yes 65700 No 29 Female No 41900 3 No 50200 No 31 Male No 12000 3 No 61700 No 33 Female No 14000 6 No 44500 Yes 37 Female No 10000 4 Yes 51900 No 28 Female No 27200 5 Yes 119100 Yes 27 Female Yes 34500 4 Yes 49200 No 33 Female No 26000 6 Yes 39000 Yes 31 Female No 53400 3 Yes 35000 No 30 Male No 23100 7 Yes 104700 Yes 23 Male No 24900 5 No 49300 No 33 Male No 10900 10 Yes 74000 No 31 Female No 52500 2 Yes 57100 Yes 24 Female No 24600 16 Yes 51400 Yes 35 Female No 28800 6 No 62100 Yes 36 Female Yes 37300 11 Yes 103000 Yes 24 Male Yes 21100 9 Yes 97900 No 25 Male No 40900 3 No 123100 No 26 Female No 24700 7 Yes 322500 No 31 Male No 33600 8 Yes 54800 Yes 26 Male Yes 20000 6 No 66500 Yes 26 Male No 23900 2 No 33700 Yes 28 Male Yes 11700 8 No 73600 Yes 26 Female No 19200 5 Yes 71300 Yes 34 Male No 11900 6 No 74200 No 32 Male No 17700 8 Yes 70000 Yes 30 Male No 23900 6 Yes 40800 No 29 Female Yes 27500 4 Yes 72500 Yes 23 Male Yes 25300 4 No 53300 No 28 Female No 66900 5 No 45600 No 25 Male No 18800 5 Yes 73900 Yes 35 Male No 24400 3 Yes 83600 No 31 Male No 45500 9 Yes 124700 No 35 Male Yes 54700 3 Yes 101600 No 32 Female No 32200 4 No 205900 Yes 29 Male No 16200 3 Yes 69700 No 34 Female No 16000 9 No 95700 No 30 Female Yes 24000 3 No 46100 Yes 29 Male No 28800 3 Yes 118600 No 42 Male No 14100 5 Yes 65400 No 37 Female Yes 17700 11 Yes 149300 Yes 32 Male No 29800 7 Yes 125000 No 33 Female Yes 27200 3 Yes 39800 No 36 Male Yes 43000 2 No 83500 Yes 32 Female Yes 15500 7 Yes 38700 Yes 35 Male Yes 8700 6 No 102400 No 20 Male No 13900 14 Yes 57700 No 30 Male No 14200 6 Yes 16200 No 31 Female Yes 27100 3 No 43100 No 28 Male Yes 22300 3 No 43700 No 24 Female Yes 29500 4 Yes 39600 Yes 30 Male No 18800 2 Yes 127500 No 23 Female Yes 26400 9 Yes 33500 No 29 Male Yes 16400 5 Yes 48100 Yes 33 Male No 39500 3 Yes 52800 No 24 Male Yes 20900 6 Yes 54800 No 25 Female No 52800 5 Yes 46500 No 38 Male No 36500 4 Yes 60400 No 22 Female No 30400 11 Yes 202400 Yes 32 Female No 39800 7 No 71300 No 28 Female Yes 18100 9 No 62800 No 32 Male Yes 69500 7 No 43900 Yes 33 Female No 33000 5 Yes 52200 Yes 32 Female Yes 32100 3 No 64400 Yes 24 Male Yes 15200 8 No 77400 Yes 23 Female Yes 49800 3 Yes 65900 No 23 Male No 28100 6 No 54100 Yes 38 Male No 15200 6 Yes 77400 Yes 29 Male No 30800 3 Yes 85900 Yes 28 Male No 21200 3 No 148600 No 29 Male No 24600 4 Yes 82100 No 36 Male Yes 24700 9 Yes 64400 Yes 35 Female Yes 26300 16 No 86200 No 34 Female Yes 32200 6 No 177100 Yes 23 Male No 20300 6 Yes 68300 No 31 Female No 60900 6 Yes 67900 Yes 28 Male No 15800 11 Yes 57300 Yes 33 Female No 31700 6 Yes 83600 No 31 Male Yes 0 5 Yes 77500 No 26 Female Yes 20900 9 Yes 61700 Yes 38 Female No 37900 12 No 85600 Yes 28 Male Yes 22400 7 Yes 59900 Yes 27 Male No 26600 5 Yes 43100 No 31 Male Yes 20800 10 No 65700 No 34 Male No 31100 7 Yes 80500 Yes 29 Male No 31200 5 Yes 88400 Yes 27 Male No 0 2 No 40200 No 26 Male Yes 38900 7 Yes 84000 Yes 33 Male Yes 29500 4 Yes 34400 Yes 33 Male No 16100 5 No 55800 Yes 34 Male No 15800 7 Yes 64900 Yes 31 Male No 27500 4 Yes 41100 Yes 37 Female No 13000 7 No 39100 Yes 27 Male Yes 68100 5 No 58200 No 32 Male Yes 18500 7 Yes 46500 Yes 25 Female No 27100 2 Yes 45100 Yes 31 Female No 25900 5 Yes 69900 Yes 38 Male No 18400 2 No 63700 No 31 Female No 59200 4 Yes 40500 No 28 Female No 67900 5 No 62600 Yes 29 Female No 36700 7 Yes 73400 Yes 34 Female No 32400 9 Yes 35000 No 35 Female Yes 10300 4 Yes 114000 No 30 Male No 39300 7 Yes 70800 No 32 Female No 13800 6 Yes 60300 Yes 31 Male No 11100 4 Yes 78700 No 29 Female No 28600 2 No 179700 No 31 Male No 22100 6 Yes 157200 Yes 31 Female No 16700 6 Yes 67300 No 22 Female Yes 19400 6 Yes 49800 No 19 Male Yes 54600 4 Yes 43400 Yes 31 Female Yes 41500 2 Yes 71100 Yes 22 Female No 23300 9 No 42100 Yes 26 Male No 29700 8 Yes 42200 Yes 34 Male Yes 33200 2 Yes 63300 No 37 Male Yes 56300 5 No 55700 No 36 Female No 25900 5 Yes 107900 No 27 Female Yes 63500 6 Yes 44800 Yes 32 Male Yes 18700 7 Yes 94700 No 27 Female No 49700 4 Yes 112700 No 32 Male Yes 15000 5 Yes 114900 Yes 24 Female Yes 8200 7 No 112700 Yes 38 Female Yes 36300 9 No 60900 No 33 Female No 50200 7 Yes 137800 No 19 Male No 13500 10 Yes 47200 Yes 33 Male Yes 37500 4 Yes 70900 Yes 25 Female No 26800 7 No 52000 No 27 Male No 30300 5 Yes 166500 Yes 35 Female No 46300 18 Yes 88000 No 29 Male Yes 14400 9 No 41800 No 31 Male Yes 0 4 Yes 60300 No 29 Female Yes 18800 5 Yes 53400 Yes 31 Female No 40900 5 No 46700 Yes 32 Male Yes 23300 7 Yes 59600 Yes 22 Female No 11900 4 Yes 27700 Yes 29 Male Yes 28100 10 No 48900 Yes 28 Female No 20400 8 No 56600 No 26 Male No 14900 7 No 32500 No 33 Female No 33900 3 Yes 74500 Yes 35 Male No 15100 6 No 69800 No 27 Male No 133400 5 Yes 48100 Yes 33 Female Yes 18300 7 Yes 95900 Yes 30 Female Yes 28700 10 Yes 76500 No 28 Male Yes 50900 6 Yes 43700 No 35 Female No 25600 4 Yes 72700 Yes 34 Female Yes 30700 0 Yes 140100 No 28 Male Yes 64300 5 Yes 76600 No 30 Male Yes 67200 7 No 65300 Yes 37 Male No 62200 11 Yes 161100 Yes 32 Male No 33100 12 No 64900 No 21 Male No 26000 4 No 59800 Yes 31 Female Yes 18400 5 No 87900 Yes 31 Male Yes 53000 12 Yes 174900 Yes 23 Male No 46300 3 Yes 40700 Yes 34 Male Yes 32700 5 No 36700 Yes 31 Male No 50900 4 Yes 167800 No 28 Female No 19200 2 Yes 168500 No 30 Male Yes 18300 3 Yes 112100 Yes 25 Male No 17800 2 Yes 65500 No 32 Female Yes 41800 6 Yes 73500 No 30 Male Yes 7100 7 Yes 59100 Yes 28 Male Yes 15500 8 Yes 73900 No 33 Male No 22900 4 Yes 120800 Yes 34 Female Yes 10000 4 No 25100 Yes 34 Female No 53300 6 Yes 137900 Yes 33 Female Yes 32400 7 Yes 70200 Yes 26 Male No 85600 2 Yes 90900 No 28 Female Yes 26400 6 No 65500 No 23 Male Yes 30400 5 Yes 86200 No 31 Male Yes 24000 8 Yes 45900 No 28 Female No 17500 0 No 76000 No 29 Male No 11000 5 Yes 82700 Yes 30 Female No 9400 5 No 57400 Yes 30 Male No 34700 12 No 53700 No 31 Female Yes 44200 3 No 29900 Yes 22 Male No 20700 5 No 94800 Yes 34 Male No 29000 3 No 67300 Yes 30 Female No 29800 3 Yes 41200 Yes 34 Female Yes 95200 21 No 70400 Yes 25 Male Yes 21500 5 Yes 120600 Yes 32 Female No 23100 4 No 63900 No 31 Female Yes 13900 5 Yes 98800 Yes 29 Female No 28900 7 Yes 53300 Yes 28 Female No 70400 8 No 30000 Yes 26 Female No 12400 4 Yes 93200 Yes 26 Male Yes 27800 9 Yes 84100 No 26 Female No 19900 5 Yes 124000 Yes 29 Female No 28000 7 Yes 73400 Yes 32 Female Yes 75000 6 Yes 45500 No 37 Female No 14000 9 Yes 88400 Yes 32 Male No 20900 4 Yes 74900 No 33 Female No 47200 6 Yes 51700 Yes 36 Female No 57200 5 No 78700 Yes 30 Male Yes 42900 7 Yes 30700 Yes 31 Male Yes 44200 1 Yes 56000 Yes 28 Female Yes 28000 4 Yes 88400 Yes 25 Male Yes 24500 6 Yes 201700 Yes 29 Male No 18100 9 Yes 71600 Yes 31 Female No 20900 7 No 59000 Yes 32 Male No 32100 6 No 57300 Yes 32 Male Yes 44500 6 No 91900 Yes 38 Male Yes 20100 4 Yes 68300 Yes 35 Male Yes 36000 8 No 93900 No 34 Male No 12600 12 Yes 61200 No 33 Male Yes 19300 6 No 128800 Yes 32 Female Yes 33300 13 Yes 77900 No 26 Female No 23600 2 No 67700 Yes 23 Female No 49400 7 Yes 63300 Yes 32 Male No 23700 1 Yes 55000 No 25 Female Yes 35700 4 No 100700 Yes 27 Male Yes 19900 10 No 148000 Yes 22 Male No 30600 9 No 59600 No 33 Female No 24600 2 No 51600 No 33 Male Yes 18000 1 Yes 48400 No 29 Male No 0 6 Yes 58500 Yes 33 Female No 27600 4 Yes 153000 No 33 Female No 48800 4 No 86800 Yes 42 Male No 30300 4 No 46400 Yes 28 Female Yes 57700 6 Yes 36900 No 27 Female No 29200 3 Yes 46900 Yes 35 Male Yes 16600 2 Yes 57400 No 31 Female No 16800 5 No 91200 No 32 Female Yes 21400 8 Yes 62100 Yes 34 Male No 12500 7 Yes 38800 Yes 24 Female Yes 49300 13 No 90200 Yes 30 Male No 9100 5 Yes 47100 Yes 28 Male No 19200 8 No 159200 Yes 32 Female Yes 15900 5 Yes 52700 Yes 34 Male Yes 40200 13 Yes 73400 No 31 Male Yes 55800 5 Yes 58900 No 33 Male Yes 27200 3 Yes 81100 Yes 31 Female Yes 20100 4 No 68400 Yes 29 Male No 17300 3 No 55700 Yes 25 Male Yes 42100 7 No 45400 No 29 Male No 39500 5 Yes 59600 No 25 Female No 21400 2 Yes 47700 Yes 30 Female No 10200 11 Yes 57200 Yes 28 Female Yes 18300 11 Yes 47300 Yes 32 Female No 20600 4 Yes 58300 Yes 34 Female No 63400 17 Yes 47800 Yes 33 Female Yes 38200 5 Yes 61600 No 24 Male No 50400 7 Yes 64000 Yes 30 Female No 9500 5 No 87400 Yes 25 Male No 27900 6 Yes 56200 Yes 26 Male No 18100 4 Yes 100600 No 31 Male No 39500 5 Yes 51100 No 29 Male No 23400 5 Yes 90100 No 31 Male No 34100 6 Yes 50800 Yes 36 Male No 17500 6 No 62500 No 34 Female Yes 12600 7 No 37400 No 24 Male No 29200 3 Yes 102700 No 28 Male Yes 42600 4 No 68400 No 34 Female Yes 18100 4 No 68800 No 31 Male No 11200 7 Yes 108000 No 31 Male Yes 30500 9 Yes 200500 No 30 Male No 39300 9 No 123000 No 38 Female No 23100 7 Yes 64300 Yes 29 Male No 38400 2 Yes 72600 No 21 Male Yes 35300 6 Yes 81500 No 32 Female No 15800 3 No 57000 Yes 27 Male Yes 24300 6 Yes 101500 No 29 Male Yes 24700 2 Yes 67600 No 32 Male No 30800 7 No 70200 No 32 Male Yes 17400 3 No 64800 No 29 Female No 9100 2 Yes 70800 No 35 Male Yes 23300 2 Yes 50300 Yes 36 Male Yes 15000 2 Yes 30300 Yes 32 Male No 0 14 No 61700 Yes 25 Female Yes 31300 7 No 103500 No 29 Male Yes 34500 8 No 33400 No 22 Male Yes 26300 7 Yes 51700 No 28 Male No 21900 7 Yes 76400 Yes 29 Female Yes 27100 7 Yes 47400 Yes 29 Male No 59300 11 Yes 118800 Yes 29 Female No 34500 9 Yes 61300 Yes 32 Female Yes 63200 8 No 97900 No 30 Male No 7000 3 Yes 67400 Yes 29 Female No 18100 7 No 82000 No 30 Female No 15500 5 Yes 60700 No 38 Male Yes 11800 4 No 98800 Yes 32 Female Yes 27700 3 Yes 61800 No 27 Male No 14600 6 No 49600 Yes 29 Male No 17500 3 Yes 54700 Yes 28 Female Yes 37900 7 Yes 153300 No 33 Male Yes 13800 9 Yes 94400 Yes 32 Male Yes 22100 9 Yes 39500 Yes 35 Female Yes 24200 6 Yes 72400 Yes 27 Male Yes 19500 6 Yes 93200 Yes 29 Male Yes 23300 4 Yes 161400 No 30 Male No 29000 5 No 56100 No 34 Female No 53200 5 No 95000 Yes 24 Male No 15300 6 Yes 94100 Yes 30 Female Yes 25800 8 No 24300 Yes 28 Male No 34200 4 Yes 49400 No 23 Female No 25000 7 Yes 41200 No 26 Female Yes 24500 7 No 81800 No 30 Male No 25500 6 No 62400 No 26 Male No 19400 14 No 117800 Yes 24 Female No 30600 11 Yes 100100 Yes 33 Female No 21100 9 No 94100 Yes 30 Female No 83300 13 Yes 59300 Yes 25 Female Yes 50700 5 Yes 89500 Yes 24 Male No 29600 2 No 88900 Yes 35 Male Yes 29700 6 Yes 53200 No 34 Female Yes 12100 6 No 58600 No 36 Male No 25000 2 No 54200 No 29 Male No 37200 5 Yes 38500 No 27 Female No 16600 1 No 69800 Yes 30 Male No 58000 2 Yes 66200 No 25 Male Yes 23400 4 Yes 78900 No 32 Male Yes 21500 3 No 87200 No 29 Male Yes 33800 15 Yes 79300 No 27 Male No 18400 7 No 51800 No 27 Male Yes 13100 11 Yes 70900 No 33 Male No 18100 18 Yes 110900 No 29 Male Yes 34300 2 No 109400 Yes 30 Male Yes 23500 8 No 43800 No 32 Male Yes 19200 6 No 49700 Yes 23 Female Yes 16900 4 Yes 149300 Yes 26 Male No 22100 5 Yes 68900 No 34 Female Yes 27000 3 Yes 50100 No 35 Male Yes 65200 2 No 32400 Yes 31 Female Yes 11200 5 Yes 82700 Yes 29 Female No 24800 12 No 104300 Yes 25 Male Yes 46500 9 Yes 49600 No 34 Male Yes 20000 7 Yes 36500 No 38 Female No 16200 1 Yes 65500 Yes 34 Male No 27200 9 Yes 110800 Yes 32 Female No 11100 3 No 38100 No 33 Female Yes 18500 2 Yes 70700 Yes 27 Male No 21300 1 Yes 39800 Yes 30 Male No 19400 3 Yes 60600 Yes 32 Female Yes 17000 5 No 48200 Yes 33 Male No 28700 4 No 108700 Yes 26 Female Yes 20700 4 No 71300 Yes 29 Male No 17100 4 Yes 110800 Yes 36 Male No 21000 5 Yes 120300 Yes 38 Male Yes 21900 6 Yes 130000 Yes 31 Female Yes 61200 7 Yes 60300 Yes 31 Female No 10200 8 No 70300 No 31 Male Yes 23600 5 No 100700 No 30 Male No 23900 4 No 72300 Yes 30 Male No 28100 5 Yes 45800 No 24 Male No 23600 6 No 51600 Yes 34 Male No 70800 10 Yes 48200 No 39 Male No 25100 14 No 87900 Yes 27 Male No 22300 7 No 89600 No 31 Female Yes 36200 6 Yes 56100 Yes 32 Male Yes 20600 12 Yes 93600 Yes 37 Male Yes 38300 4 No 100300 Yes 29 Male No 13800 5 No 96000 No 31 Male Yes 47000 10 Yes 105500 No 27 Male No 30300 4 No 76400 No 31 Female Yes 37100 6 Yes 77100 Yes 32 Female Yes 64100 4 Yes 62300 Yes 30 Male Yes 19300 6 No 52700 No 26 Female Yes 27400 4 Yes 59000 No 32 Female Yes 23900 2 Yes 42200 No 32 Female No 27400 7 Yes 83500 No 26 Female Yes 14400 3 Yes 28200 Yes 24 Male Yes 36000 4 Yes 103500 No 25 Female Yes 30300 6 No 35100 No 28 Female Yes 30500 11 Yes 36800 Yes A) Compute the sample mean and standard deviation for the following variables Age , Value of Investments ($) , Number of Transactions , and Household Income ($) Age Value of Investments ($) Number of Transactions Household Income ($) Sample Mean Sample Standard Deviation B) Based on your calculations in part (a), develop a 95 confidence interval for the mean Age of subscribers How do you interpret this confidence interval to senior management at Young Professional magazine C) Based on your calculations in part (a), develop a 99 confidence interval for the mean Household Income ($) of subscribers How do you interpret this confidence interval to senior management at Young Professional magazine D) Compute the sample proportion for the following in the survey Proportion of males ( Gender Male ) Proportion of respondents who plan to make a real estate purchase in the next two years ( Real Estate Purchases Yes ) Proportion of respondents who have broadband access to the Internet at home ( Broadband Access Yes ) Proportion of respondents who have children ( Have Children Yes ) Gender Male Real Estate Purchases Yes Broadband Access Yes Have Children Yes Sample Proportion E) Based on your calculations in part (d), develop a 95 confidence interval for the proportion of subscribers who have broadband Internet access at home How do you interpret this confidence interval to senior management at Young Professional magazine F) Based on your calculations in part (d), develop a 99 confidence interval for the proportion of subscribers who have children How do you interpret this confidence interval to senior management at Young Professional magazine

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Question 2. Young Professional Magazine Young Professional magazine was developed for a target audience of recent college graduates who are in their first 10 years

Question 2. 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 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.

Some of the survey questions follow.

What is your age?
Are you: Male, Female?
Do you plan to make any real estate purchases in the next two years? Yes, No
What is the approximate total value of financial investments, exclusive of your home, owned by you or members of your household?
How many stock/bond/mutual fund transactions have you made in the past year?
Do you have broadband access to the Internet at home? Yes, No
Please indicate your total household income last year.
Do you have children? Yes, No

Age	Gender	Real Estate Purchases?	Value of Investments ($)	Number of Transactions	Broadband Access?	Household Income ($)	Have Children?
38	Female	No	12200	4	Yes	75200	Yes
30	Male	No	12400	4	Yes	70300	Yes
41	Female	No	26800	5	Yes	48200	No
28	Female	Yes	19600	6	No	95300	No
31	Female	Yes	15100	5	No	73300	Yes
32	Male	No	39700	3	Yes	123400	Yes
32	Male	Yes	21900	2	Yes	73900	Yes
26	Female	Yes	41900	2	Yes	54300	Yes
26	Male	Yes	16100	4	Yes	93100	No
34	Female	Yes	18400	11	Yes	60100	No
33	Female	No	33800	3	No	48600	No
35	Female	Yes	15500	6	No	43500	No
28	Female	No	17300	7	Yes	73600	Yes
30	Male	No	47900	5	Yes	68200	Yes
30	Female	No	28200	3	No	61900	Yes
30	Male	Yes	19400	6	No	57600	No
33	Male	Yes	31000	12	No	82300	No
28	Male	No	21300	6	No	64600	Yes
27	Female	No	21300	10	Yes	61100	Yes
23	Female	No	21300	7	Yes	31200	Yes
30	Female	No	34100	6	Yes	92600	No
28	Male	No	32600	7	Yes	68300	No
41	Male	Yes	0	10	Yes	35100	No
29	Male	Yes	20800	10	Yes	85700	No
33	Female	Yes	23100	6	Yes	140300	Yes
30	Male	No	39800	9	Yes	108200	Yes
29	Female	No	17900	2	No	61100	No
33	Male	No	33300	2	No	33900	Yes
30	Female	Yes	21800	8	Yes	54400	Yes
30	Male	No	54000	7	Yes	61200	No
36	Female	Yes	34800	12	No	58000	Yes
33	Female	Yes	36100	7	Yes	90700	Yes
28	Female	Yes	44300	5	Yes	95200	No
28	Male	No	21400	5	No	50500	Yes
28	Male	Yes	8600	6	Yes	33800	Yes
35	Male	No	23200	3	No	147400	No
31	Male	No	24800	4	No	92600	Yes
33	Female	No	26600	5	Yes	66200	No
32	Male	No	33100	8	No	45700	No
28	Male	No	27000	4	No	60500	Yes
27	Male	No	48700	6	No	110600	No
30	Female	Yes	17100	4	No	60300	Yes
29	Male	No	19900	6	No	75700	No
28	Male	No	13200	9	No	70100	Yes
29	Female	Yes	32400	6	No	42100	Yes
32	Female	No	14200	5	Yes	41700	Yes
33	Male	No	20100	5	No	96900	No
23	Male	Yes	32000	5	Yes	65700	No
29	Female	No	41900	3	No	50200	No
31	Male	No	12000	3	No	61700	No
33	Female	No	14000	6	No	44500	Yes
37	Female	No	10000	4	Yes	51900	No
28	Female	No	27200	5	Yes	119100	Yes
27	Female	Yes	34500	4	Yes	49200	No
33	Female	No	26000	6	Yes	39000	Yes
31	Female	No	53400	3	Yes	35000	No
30	Male	No	23100	7	Yes	104700	Yes
23	Male	No	24900	5	No	49300	No
33	Male	No	10900	10	Yes	74000	No
31	Female	No	52500	2	Yes	57100	Yes
24	Female	No	24600	16	Yes	51400	Yes
35	Female	No	28800	6	No	62100	Yes
36	Female	Yes	37300	11	Yes	103000	Yes
24	Male	Yes	21100	9	Yes	97900	No
25	Male	No	40900	3	No	123100	No
26	Female	No	24700	7	Yes	322500	No
31	Male	No	33600	8	Yes	54800	Yes
26	Male	Yes	20000	6	No	66500	Yes
26	Male	No	23900	2	No	33700	Yes
28	Male	Yes	11700	8	No	73600	Yes
26	Female	No	19200	5	Yes	71300	Yes
34	Male	No	11900	6	No	74200	No
32	Male	No	17700	8	Yes	70000	Yes
30	Male	No	23900	6	Yes	40800	No
29	Female	Yes	27500	4	Yes	72500	Yes
23	Male	Yes	25300	4	No	53300	No
28	Female	No	66900	5	No	45600	No
25	Male	No	18800	5	Yes	73900	Yes
35	Male	No	24400	3	Yes	83600	No
31	Male	No	45500	9	Yes	124700	No
35	Male	Yes	54700	3	Yes	101600	No
32	Female	No	32200	4	No	205900	Yes
29	Male	No	16200	3	Yes	69700	No
34	Female	No	16000	9	No	95700	No
30	Female	Yes	24000	3	No	46100	Yes
29	Male	No	28800	3	Yes	118600	No
42	Male	No	14100	5	Yes	65400	No
37	Female	Yes	17700	11	Yes	149300	Yes
32	Male	No	29800	7	Yes	125000	No
33	Female	Yes	27200	3	Yes	39800	No
36	Male	Yes	43000	2	No	83500	Yes
32	Female	Yes	15500	7	Yes	38700	Yes
35	Male	Yes	8700	6	No	102400	No
20	Male	No	13900	14	Yes	57700	No
30	Male	No	14200	6	Yes	16200	No
31	Female	Yes	27100	3	No	43100	No
28	Male	Yes	22300	3	No	43700	No
24	Female	Yes	29500	4	Yes	39600	Yes
30	Male	No	18800	2	Yes	127500	No
23	Female	Yes	26400	9	Yes	33500	No
29	Male	Yes	16400	5	Yes	48100	Yes
33	Male	No	39500	3	Yes	52800	No
24	Male	Yes	20900	6	Yes	54800	No
25	Female	No	52800	5	Yes	46500	No
38	Male	No	36500	4	Yes	60400	No
22	Female	No	30400	11	Yes	202400	Yes
32	Female	No	39800	7	No	71300	No
28	Female	Yes	18100	9	No	62800	No
32	Male	Yes	69500	7	No	43900	Yes
33	Female	No	33000	5	Yes	52200	Yes
32	Female	Yes	32100	3	No	64400	Yes
24	Male	Yes	15200	8	No	77400	Yes
23	Female	Yes	49800	3	Yes	65900	No
23	Male	No	28100	6	No	54100	Yes
38	Male	No	15200	6	Yes	77400	Yes
29	Male	No	30800	3	Yes	85900	Yes
28	Male	No	21200	3	No	148600	No
29	Male	No	24600	4	Yes	82100	No
36	Male	Yes	24700	9	Yes	64400	Yes
35	Female	Yes	26300	16	No	86200	No
34	Female	Yes	32200	6	No	177100	Yes
23	Male	No	20300	6	Yes	68300	No
31	Female	No	60900	6	Yes	67900	Yes
28	Male	No	15800	11	Yes	57300	Yes
33	Female	No	31700	6	Yes	83600	No
31	Male	Yes	0	5	Yes	77500	No
26	Female	Yes	20900	9	Yes	61700	Yes
38	Female	No	37900	12	No	85600	Yes
28	Male	Yes	22400	7	Yes	59900	Yes
27	Male	No	26600	5	Yes	43100	No
31	Male	Yes	20800	10	No	65700	No
34	Male	No	31100	7	Yes	80500	Yes
29	Male	No	31200	5	Yes	88400	Yes
27	Male	No	0	2	No	40200	No
26	Male	Yes	38900	7	Yes	84000	Yes
33	Male	Yes	29500	4	Yes	34400	Yes
33	Male	No	16100	5	No	55800	Yes
34	Male	No	15800	7	Yes	64900	Yes
31	Male	No	27500	4	Yes	41100	Yes
37	Female	No	13000	7	No	39100	Yes
27	Male	Yes	68100	5	No	58200	No
32	Male	Yes	18500	7	Yes	46500	Yes
25	Female	No	27100	2	Yes	45100	Yes
31	Female	No	25900	5	Yes	69900	Yes
38	Male	No	18400	2	No	63700	No
31	Female	No	59200	4	Yes	40500	No
28	Female	No	67900	5	No	62600	Yes
29	Female	No	36700	7	Yes	73400	Yes
34	Female	No	32400	9	Yes	35000	No
35	Female	Yes	10300	4	Yes	114000	No
30	Male	No	39300	7	Yes	70800	No
32	Female	No	13800	6	Yes	60300	Yes
31	Male	No	11100	4	Yes	78700	No
29	Female	No	28600	2	No	179700	No
31	Male	No	22100	6	Yes	157200	Yes
31	Female	No	16700	6	Yes	67300	No
22	Female	Yes	19400	6	Yes	49800	No
19	Male	Yes	54600	4	Yes	43400	Yes
31	Female	Yes	41500	2	Yes	71100	Yes
22	Female	No	23300	9	No	42100	Yes
26	Male	No	29700	8	Yes	42200	Yes
34	Male	Yes	33200	2	Yes	63300	No
37	Male	Yes	56300	5	No	55700	No
36	Female	No	25900	5	Yes	107900	No
27	Female	Yes	63500	6	Yes	44800	Yes
32	Male	Yes	18700	7	Yes	94700	No
27	Female	No	49700	4	Yes	112700	No
32	Male	Yes	15000	5	Yes	114900	Yes
24	Female	Yes	8200	7	No	112700	Yes
38	Female	Yes	36300	9	No	60900	No
33	Female	No	50200	7	Yes	137800	No
19	Male	No	13500	10	Yes	47200	Yes
33	Male	Yes	37500	4	Yes	70900	Yes
25	Female	No	26800	7	No	52000	No
27	Male	No	30300	5	Yes	166500	Yes
35	Female	No	46300	18	Yes	88000	No
29	Male	Yes	14400	9	No	41800	No
31	Male	Yes	0	4	Yes	60300	No
29	Female	Yes	18800	5	Yes	53400	Yes
31	Female	No	40900	5	No	46700	Yes
32	Male	Yes	23300	7	Yes	59600	Yes
22	Female	No	11900	4	Yes	27700	Yes
29	Male	Yes	28100	10	No	48900	Yes
28	Female	No	20400	8	No	56600	No
26	Male	No	14900	7	No	32500	No
33	Female	No	33900	3	Yes	74500	Yes
35	Male	No	15100	6	No	69800	No
27	Male	No	133400	5	Yes	48100	Yes
33	Female	Yes	18300	7	Yes	95900	Yes
30	Female	Yes	28700	10	Yes	76500	No
28	Male	Yes	50900	6	Yes	43700	No
35	Female	No	25600	4	Yes	72700	Yes
34	Female	Yes	30700	0	Yes	140100	No
28	Male	Yes	64300	5	Yes	76600	No
30	Male	Yes	67200	7	No	65300	Yes
37	Male	No	62200	11	Yes	161100	Yes
32	Male	No	33100	12	No	64900	No
21	Male	No	26000	4	No	59800	Yes
31	Female	Yes	18400	5	No	87900	Yes
31	Male	Yes	53000	12	Yes	174900	Yes
23	Male	No	46300	3	Yes	40700	Yes
34	Male	Yes	32700	5	No	36700	Yes
31	Male	No	50900	4	Yes	167800	No
28	Female	No	19200	2	Yes	168500	No
30	Male	Yes	18300	3	Yes	112100	Yes
25	Male	No	17800	2	Yes	65500	No
32	Female	Yes	41800	6	Yes	73500	No
30	Male	Yes	7100	7	Yes	59100	Yes
28	Male	Yes	15500	8	Yes	73900	No
33	Male	No	22900	4	Yes	120800	Yes
34	Female	Yes	10000	4	No	25100	Yes
34	Female	No	53300	6	Yes	137900	Yes
33	Female	Yes	32400	7	Yes	70200	Yes
26	Male	No	85600	2	Yes	90900	No
28	Female	Yes	26400	6	No	65500	No
23	Male	Yes	30400	5	Yes	86200	No
31	Male	Yes	24000	8	Yes	45900	No
28	Female	No	17500	0	No	76000	No
29	Male	No	11000	5	Yes	82700	Yes
30	Female	No	9400	5	No	57400	Yes
30	Male	No	34700	12	No	53700	No
31	Female	Yes	44200	3	No	29900	Yes
22	Male	No	20700	5	No	94800	Yes
34	Male	No	29000	3	No	67300	Yes
30	Female	No	29800	3	Yes	41200	Yes
34	Female	Yes	95200	21	No	70400	Yes
25	Male	Yes	21500	5	Yes	120600	Yes
32	Female	No	23100	4	No	63900	No
31	Female	Yes	13900	5	Yes	98800	Yes
29	Female	No	28900	7	Yes	53300	Yes
28	Female	No	70400	8	No	30000	Yes
26	Female	No	12400	4	Yes	93200	Yes
26	Male	Yes	27800	9	Yes	84100	No
26	Female	No	19900	5	Yes	124000	Yes
29	Female	No	28000	7	Yes	73400	Yes
32	Female	Yes	75000	6	Yes	45500	No
37	Female	No	14000	9	Yes	88400	Yes
32	Male	No	20900	4	Yes	74900	No
33	Female	No	47200	6	Yes	51700	Yes
36	Female	No	57200	5	No	78700	Yes
30	Male	Yes	42900	7	Yes	30700	Yes
31	Male	Yes	44200	1	Yes	56000	Yes
28	Female	Yes	28000	4	Yes	88400	Yes
25	Male	Yes	24500	6	Yes	201700	Yes
29	Male	No	18100	9	Yes	71600	Yes
31	Female	No	20900	7	No	59000	Yes
32	Male	No	32100	6	No	57300	Yes
32	Male	Yes	44500	6	No	91900	Yes
38	Male	Yes	20100	4	Yes	68300	Yes
35	Male	Yes	36000	8	No	93900	No
34	Male	No	12600	12	Yes	61200	No
33	Male	Yes	19300	6	No	128800	Yes
32	Female	Yes	33300	13	Yes	77900	No
26	Female	No	23600	2	No	67700	Yes
23	Female	No	49400	7	Yes	63300	Yes
32	Male	No	23700	1	Yes	55000	No
25	Female	Yes	35700	4	No	100700	Yes
27	Male	Yes	19900	10	No	148000	Yes
22	Male	No	30600	9	No	59600	No
33	Female	No	24600	2	No	51600	No
33	Male	Yes	18000	1	Yes	48400	No
29	Male	No	0	6	Yes	58500	Yes
33	Female	No	27600	4	Yes	153000	No
33	Female	No	48800	4	No	86800	Yes
42	Male	No	30300	4	No	46400	Yes
28	Female	Yes	57700	6	Yes	36900	No
27	Female	No	29200	3	Yes	46900	Yes
35	Male	Yes	16600	2	Yes	57400	No
31	Female	No	16800	5	No	91200	No
32	Female	Yes	21400	8	Yes	62100	Yes
34	Male	No	12500	7	Yes	38800	Yes
24	Female	Yes	49300	13	No	90200	Yes
30	Male	No	9100	5	Yes	47100	Yes
28	Male	No	19200	8	No	159200	Yes
32	Female	Yes	15900	5	Yes	52700	Yes
34	Male	Yes	40200	13	Yes	73400	No
31	Male	Yes	55800	5	Yes	58900	No
33	Male	Yes	27200	3	Yes	81100	Yes
31	Female	Yes	20100	4	No	68400	Yes
29	Male	No	17300	3	No	55700	Yes
25	Male	Yes	42100	7	No	45400	No
29	Male	No	39500	5	Yes	59600	No
25	Female	No	21400	2	Yes	47700	Yes
30	Female	No	10200	11	Yes	57200	Yes
28	Female	Yes	18300	11	Yes	47300	Yes
32	Female	No	20600	4	Yes	58300	Yes
34	Female	No	63400	17	Yes	47800	Yes
33	Female	Yes	38200	5	Yes	61600	No
24	Male	No	50400	7	Yes	64000	Yes
30	Female	No	9500	5	No	87400	Yes
25	Male	No	27900	6	Yes	56200	Yes
26	Male	No	18100	4	Yes	100600	No
31	Male	No	39500	5	Yes	51100	No
29	Male	No	23400	5	Yes	90100	No
31	Male	No	34100	6	Yes	50800	Yes
36	Male	No	17500	6	No	62500	No
34	Female	Yes	12600	7	No	37400	No
24	Male	No	29200	3	Yes	102700	No
28	Male	Yes	42600	4	No	68400	No
34	Female	Yes	18100	4	No	68800	No
31	Male	No	11200	7	Yes	108000	No
31	Male	Yes	30500	9	Yes	200500	No
30	Male	No	39300	9	No	123000	No
38	Female	No	23100	7	Yes	64300	Yes
29	Male	No	38400	2	Yes	72600	No
21	Male	Yes	35300	6	Yes	81500	No
32	Female	No	15800	3	No	57000	Yes
27	Male	Yes	24300	6	Yes	101500	No
29	Male	Yes	24700	2	Yes	67600	No
32	Male	No	30800	7	No	70200	No
32	Male	Yes	17400	3	No	64800	No
29	Female	No	9100	2	Yes	70800	No
35	Male	Yes	23300	2	Yes	50300	Yes
36	Male	Yes	15000	2	Yes	30300	Yes
32	Male	No	0	14	No	61700	Yes
25	Female	Yes	31300	7	No	103500	No
29	Male	Yes	34500	8	No	33400	No
22	Male	Yes	26300	7	Yes	51700	No
28	Male	No	21900	7	Yes	76400	Yes
29	Female	Yes	27100	7	Yes	47400	Yes
29	Male	No	59300	11	Yes	118800	Yes
29	Female	No	34500	9	Yes	61300	Yes
32	Female	Yes	63200	8	No	97900	No
30	Male	No	7000	3	Yes	67400	Yes
29	Female	No	18100	7	No	82000	No
30	Female	No	15500	5	Yes	60700	No
38	Male	Yes	11800	4	No	98800	Yes
32	Female	Yes	27700	3	Yes	61800	No
27	Male	No	14600	6	No	49600	Yes
29	Male	No	17500	3	Yes	54700	Yes
28	Female	Yes	37900	7	Yes	153300	No
33	Male	Yes	13800	9	Yes	94400	Yes
32	Male	Yes	22100	9	Yes	39500	Yes
35	Female	Yes	24200	6	Yes	72400	Yes
27	Male	Yes	19500	6	Yes	93200	Yes
29	Male	Yes	23300	4	Yes	161400	No
30	Male	No	29000	5	No	56100	No
34	Female	No	53200	5	No	95000	Yes
24	Male	No	15300	6	Yes	94100	Yes
30	Female	Yes	25800	8	No	24300	Yes
28	Male	No	34200	4	Yes	49400	No
23	Female	No	25000	7	Yes	41200	No
26	Female	Yes	24500	7	No	81800	No
30	Male	No	25500	6	No	62400	No
26	Male	No	19400	14	No	117800	Yes
24	Female	No	30600	11	Yes	100100	Yes
33	Female	No	21100	9	No	94100	Yes
30	Female	No	83300	13	Yes	59300	Yes
25	Female	Yes	50700	5	Yes	89500	Yes
24	Male	No	29600	2	No	88900	Yes
35	Male	Yes	29700	6	Yes	53200	No
34	Female	Yes	12100	6	No	58600	No
36	Male	No	25000	2	No	54200	No
29	Male	No	37200	5	Yes	38500	No
27	Female	No	16600	1	No	69800	Yes
30	Male	No	58000	2	Yes	66200	No
25	Male	Yes	23400	4	Yes	78900	No
32	Male	Yes	21500	3	No	87200	No
29	Male	Yes	33800	15	Yes	79300	No
27	Male	No	18400	7	No	51800	No
27	Male	Yes	13100	11	Yes	70900	No
33	Male	No	18100	18	Yes	110900	No
29	Male	Yes	34300	2	No	109400	Yes
30	Male	Yes	23500	8	No	43800	No
32	Male	Yes	19200	6	No	49700	Yes
23	Female	Yes	16900	4	Yes	149300	Yes
26	Male	No	22100	5	Yes	68900	No
34	Female	Yes	27000	3	Yes	50100	No
35	Male	Yes	65200	2	No	32400	Yes
31	Female	Yes	11200	5	Yes	82700	Yes
29	Female	No	24800	12	No	104300	Yes
25	Male	Yes	46500	9	Yes	49600	No
34	Male	Yes	20000	7	Yes	36500	No
38	Female	No	16200	1	Yes	65500	Yes
34	Male	No	27200	9	Yes	110800	Yes
32	Female	No	11100	3	No	38100	No
33	Female	Yes	18500	2	Yes	70700	Yes
27	Male	No	21300	1	Yes	39800	Yes
30	Male	No	19400	3	Yes	60600	Yes
32	Female	Yes	17000	5	No	48200	Yes
33	Male	No	28700	4	No	108700	Yes
26	Female	Yes	20700	4	No	71300	Yes
29	Male	No	17100	4	Yes	110800	Yes
36	Male	No	21000	5	Yes	120300	Yes
38	Male	Yes	21900	6	Yes	130000	Yes
31	Female	Yes	61200	7	Yes	60300	Yes
31	Female	No	10200	8	No	70300	No
31	Male	Yes	23600	5	No	100700	No
30	Male	No	23900	4	No	72300	Yes
30	Male	No	28100	5	Yes	45800	No
24	Male	No	23600	6	No	51600	Yes
34	Male	No	70800	10	Yes	48200	No
39	Male	No	25100	14	No	87900	Yes
27	Male	No	22300	7	No	89600	No
31	Female	Yes	36200	6	Yes	56100	Yes
32	Male	Yes	20600	12	Yes	93600	Yes
37	Male	Yes	38300	4	No	100300	Yes
29	Male	No	13800	5	No	96000	No
31	Male	Yes	47000	10	Yes	105500	No
27	Male	No	30300	4	No	76400	No
31	Female	Yes	37100	6	Yes	77100	Yes
32	Female	Yes	64100	4	Yes	62300	Yes
30	Male	Yes	19300	6	No	52700	No
26	Female	Yes	27400	4	Yes	59000	No
32	Female	Yes	23900	2	Yes	42200	No
32	Female	No	27400	7	Yes	83500	No
26	Female	Yes	14400	3	Yes	28200	Yes
24	Male	Yes	36000	4	Yes	103500	No
25	Female	Yes	30300	6	No	35100	No
28	Female	Yes	30500	11	Yes	36800	Yes

A) Compute the sample mean and standard deviation for the following variables: Age, Value of Investments ($), Number of Transactions, and Household Income ($).

	Age	Value of Investments ($)	Number of Transactions	Household Income ($)
Sample Mean
Sample Standard Deviation

B) Based on your calculations in part (a), develop a 95% confidence interval for the mean Age of subscribers. How do you interpret this confidence interval to senior management at Young Professional magazine?

C) Based on your calculations in part (a), develop a 99% confidence interval for the mean Household Income ($) of subscribers. How do you interpret this confidence interval to senior management at Young Professional magazine?

D) Compute the sample proportion for the following in the survey:

Proportion of males (Gender: Male)
Proportion of respondents who plan to make a real estate purchase in the next two years (Real Estate Purchases: Yes)
Proportion of respondents who have broadband access to the Internet at home (Broadband Access: Yes)
Proportion of respondents who have children (Have Children: Yes)

	Gender: Male	Real Estate Purchases: Yes	Broadband Access: Yes	Have Children: Yes
Sample Proportion

E) Based on your calculations in part (d), develop a 95% confidence interval for the proportion of subscribers who have broadband Internet access at home. How do you interpret this confidence interval to senior management at Young Professional magazine?

F) Based on your calculations in part (d), develop a 99% confidence interval for the proportion of subscribers who have children. How do you interpret this confidence interval to senior management at Young Professional magazine?