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Young Professional magazine was developed for a target audience of recent college graduateswho are in their first 10 years in a business/professional career. In its
- Young Professional magazine was developed for a target audience of recent college graduateswho 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 themagazine's advertising base. Potential advertisers continually ask about the demographicsand interests of subscribers to Young Professional. To collect this information, the magazinecommissionedasurveytodevelopaprofileofitssubscribers.Thesurveyresults willbeused to help the magazine choose articles of interest and provide advertisers with a profile ofsubscribers.
Yourreport shouldaddressthefollowingissues, butdonotlimityouranalysistojustthese areas.
Usedata:professional.xlsfromBlackboard
- [5pts]Developappropriatedescriptivestatisticstosummarize thedata.
- [5pts]Develop95%confidenceintervals forthemeanageandhouseholdincome ofsub-scribers.
- [5pts]Develop95%confidenceintervals fortheproportionofsubscriberswhohavebroad-bandaccessathomeandtheproportionofsubscriberswhohavechildren.
- [5pts]WouldYoungProfessionalbeagoodadvertisingoutletforonlinebrokers?Justify yourconclusionwithstatisticaldata.
- [5pts]Wouldthismagazine beagoodplacetoadvertiseforcompaniesselling educationalsoftwareandcomputergamesforyoungchildren?
- [5pts]Comment onthetypesofarticles youbelievewouldbeofinteresttoreadersofYoungProfessional
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 |
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