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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 business/professional career. In its two years of publication, the magazine has been fairly successful. Now the publisher is interested in expanding the magazines 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: 1. What is your age?_________ 2. Are you: Male_________ Female___________ 3. Do you plan to make any real estate purchases in the next two years? Yes______ No______ 4. What is the approximate total value of financial investments, exclusive of your home, owned by you or members of your household?_________ 5. How many stock/bond/mutual fund transactions have you made in the past year?______ 6. Do you have broadband access to the Internet at home? Yes______ No______ 7. Please indicate your total household income last year.______ 8. Do you have children? Yes______ No______ The file entitled Professional contains the responses to these questions. Use data file to analyze the data. Managerial Report 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 magazines 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.

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.

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

Answer & Explanation Solved by verified expert

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