The New Statistical Analysis of Data

Question: Discuss about The New Statistical Analysis of Data? Answer: We get a clear picture of the defined customer from the summary of the given result of MRI California Pizza. On grouping the data in groups and rejecting the data with , the highest indexed value has been selected from the group and the summary has been performed henceforth. Women 122870 4589 3.7 63 122 Educ: graduated college plus 67714 3696 5.5 50.8 178 Age 25-34 41706 1798 4.3 24.7 140 Adults 25-54 125773 4898 3.9 67.3 127 Men 18-34 35868 1192 3.3 16.4 108 Women 25-54 63943 3117 4.9 42.8 159 Occupation: management, business and financial operations 22675 1198 5.3 16.5 172 HHI: $150,000+ 26233 1996 7.6 27.4 248 Census Region: West 53905 3306 6.1 45.4 200 Mediamarkets: Top 5 49048 3017 6.2 41.4 200 County Size: A 97994 4673 4.8 64.2 155 Marital Status: Never Married 65394 2281 3.5 31.3 114 Child age: 12-17 years 46089 1669 3.6 22.9 118 Years At Present Address: 1-4 Years 64787 2251 3.5 30.9 113 Home: Owned 156236 4962 3.2 68.2 103 Home value: $500,000+ 15352 1281 8.3 17.6 272 Race: Asian 6958 521 7.5 7.2 244 Spanish spoken in home (most often or other) 37649 1416 3.8 19.5 122 Magazines: II 47403 1907 4 26.2 131 Newspaper III 47406 1678 3.5 23.1 115 Radio III 47401 1711 3.6 23.5 118 TV (total) V (Light) 47424 2047 4.3 28.1 141 Internet II 47404 1940 4.1 26.6 133 Outdoor I (Heavy) 47348 1800 3.8 24.7 124 TV (Prime time) IV 47414 1688 3.6 23.2 116 TV (Day time) III (Light) 24940 765 3.1 10.5 100 HH subscribe to digital cable 95351 3088 3.2 42.4 105 Watched any pay-per-view/last 12 months 31468 1082 3.4 14.9 112 Watched any Video-on-Demand/last 12 months 58744 2609 4.4 35.8 145 Any cable viewing/last week 191554 6068 3.2 83.4 103 Magazines: Sunday Mag/Net Carrier Newspapers 12054 925 7.7 12.7 250 Radio: Weekend 7:00 pm - Midnight 39231 1517 3.9 20.8 126 TV Dayparts: Weekdays: 4:00 pm-7:30 pm 65336 1236 1.9 17 62 TV Show Types: News- Specials 16470 715 4.3 9.8 141 Web Sites: LivingSocial.com 8145 618 7.6 8.5 247 Summary: Information about the consumers of MRI California Pizza It is seen that women prefer California Pizza over men. Adults of age-group 25-54 are more likely to consume Pizza. Men of age group 18-34 consume more of this product and female of age group 25-54 consumes more pizza. So it can be concluded that women are more likely to consume more pizza as the age group of women constitutes the maximum part of the age group of adults consuming pizza[1]. Consumers of this product are graduated college plus and they have an occupation of management, business and financial operations. Residing in the west region and belonging to a Spanish speaking household, these consumers have an average household income of $150,000+ and their Home value is $500,000+. They are Asians by race. These consumers prefer to play heavy outdoor games and they watch TV (total) V (Light). From one demographic characteristic, heavy outdoor game, it can be said that these consumers consume more pizzas as much as they play games. Consumers of California Pizza, reads more of Magazine II , Newspaper III and listens to Radio III. This suggests heavier the magazine; the more likely they are to consume pizza. Also readers of moderate newspapers and listeners of moderate radio are more likely to consume California Pizza[2]. For Beverage Item A clear picture of the defined customer can be found from the summary of the given result of MRI Blue Moon. The data are grouped into different groups and the data with * is rejected due to less number of respondent. The highest indexed value data is selected from the group and thus the summary is created. Men 114141 3845 3.4 68.2 142 Occupation: management, business and financial operations 22675 885 3.9 15.7 164 Men 18-34 35868 1728 4.8 30.7 203 Educ: post graduate 24233 856 3.5 15.2 149 Age 18-24 30221 1195 4 21.2 166 Adults 18-34 71927 2605 3.6 46.2 152 Women 18-34 36060 876 2.4 15.6 102 HHI: $150,000+ 26233 1294 4.9 23 208 Census Region: West 53905 1555 2.9 27.6 121 Mediamarkets: Top 5 49048 1505 3.1 26.7 129 County Size: A 97994 2847 2.9 50.5 122 Marital Status: Never Married 65394 2310 3.5 41 149 Child age: 2-5 years 33480 943 2.8 16.7 118 Years At Present Address: 40216 1274 3.2 22.6 133 Home value: $500,000+ 15352 584 3.8 10.4 160 Race: White 178734 4612 2.6 81.9 109 Race: White only 175782 4558 2.6 80.9 109 Race: Other race/Multiple classifications 33063 734 2.2 13 93 Spanish spoken in home (most often or other) 37649 727 1.9 12.9 81 Magazines: II 47403 1466 3.1 26 130 Newspaper IV 47404 1316 2.8 23.4 117 Radio II 47392 1508 3.2 26.8 134 TV (total) IV 47402 1440 3 25.6 128 Internet I (Heavy) 47371 1665 3.5 29.6 148 Outdoor II 47402 1392 2.9 24.7 124 TV (Prime time) IV 47414 1321 2.8 23.5 117 TV (Day time) III (Light) 24940 655 2.6 11.6 111 HH subscribe to digital cable 95351 2506 2.6 44.5 111 Cable Services: Adult Swim 16603 822 5 14.6 208 Magazines: Men's Fitness 7840 546 7 9.7 293 Radio: Weekday 3:00 pm - 7:00 pm 104120 3148 3 55.9 127 TV Show Types: Football Pro Pregame Shows 29883 934 3.1 16.6 132 Web Sites: MLB.com 9415 553 5.9 9.8 247 Summary: Information about the consumers of MRI Blue Moon It is seen that the consumers of MRI Blue Moon is mostly men of age group 18-34. Women of the same age also consume this product, but men prefer it more. The consumers education is post graduate and their occupation is management, business and financial operations. These are unmarried consumers and reside in the west region[3]. These white peoples have a Home value of $500,000+ and their household income is $150,000+. They use internet heavily and watches TV at daytime, but light. These consumes usually watch Football Pro Pregame Shows. Their households are also subscribed to digital cable. It can be said that the more they use internet, the more they are likely to consume MRI Blue Moon. The consumers of MRI Blue Moon reads magazine quite heavily and listens to radio quite heavily. They read light newspapers. It can be said that drinking of MRI Blue Moon is directly proportional to the level of magazine and radio listening and is inversely proportional to the degree of newspaper reading[4]. References Anderson, Theodore Wilbur, and Jeremy Finn.The New Statistical Analysis Of Data. Springer Science Business Media, 2012. DiMaggio, Charles.Introduction. Springer New York, 2013. Andersson, Hakan, and Tom Britton.Stochastic epidemic models and their statistical analysis. Vol. 151. Springer Science Business Media, 2012. Anderson, Theodore Wilbur, and Jeremy Finn.The new statistical analysis of data. Springer Science Business Media, 2012. [1] Anderson, Theodore Wilbur, and Jeremy Finn.The new statistical analysis of data. Springer Science Business Media, 2012. [2] DiMaggio, Charles.Introduction. Springer New York, 2013. [3] Andersson, Hakan, and Tom Britton.Stochastic epidemic models and their statistical analysis. Vol. 151. Springer Science Business Media, 2012. [4] Anderson, Theodore Wilbur, and Jeremy Finn.The new statistical analysis of data. Springer Science Business Media, 2012.