Statistical Data Analysis Essay

880 WordsNov 12, 20104 Pages
REPORT REVIEW AND ANALYSIS Renika Hendry CTU-Online Applied Managerial Decision-Making MGMT 600 Phase 2 Individual Project Instructor: Joseph Cappa 10/14/10 Abstract With the National Sales meeting approaching, the Marketing department is requiring that every Regional Sales Manager do a short presentation to highlight how the consumers in their region don’t compare to the rest of the consumers in the whole United States. Since I am still working with the local Regional Sales Manager I am going to prepare a two-page memo that will explain how my territory is different from other territories nationally. I will do this by utilizing reports obtained from the American Marketing Association website, which include general and…show more content…
The percentage for never married was 54.20 in Chicago, and 27.10% in the entire U.S. There is also a major difference in the transportation category. The 2000 statistics showed that more people drove alone in the entire U.S. with a percentage of 75.70, than they did in the 60614 zip code with a percentage of 39.50. Census Trend-Findings Population. The population from 1980 to 2000 was majorly different in the 60614 zip code than in the entire U.S. The population in Chicago was: * 1980 – 57,441 * 1990 – 61,469 * 2000 – 64,637 In the entire United States, the population was: * 1980 – 224,811,135 * 1990 – 248,710,012 * 2000 – 281,421,906 The total percentage change from 1980 to 2000 in the 60614 zip code was 12.20%, and 23.80% in the entire U.S. Household Income. The statistical data from AMA showed that more people had a higher income or had income coming into their house in the 60614 zip code than all of the citizens combined in the U.S. The average household income in Chicago was: * 1980 – $24,245 * 1990 – $67,607 * 2000 – $69,311 The average household income in the entire U.S. was: * 1980 – $20,382 * 1990 – $38,464 * 2000 – $56,643 Occupation-Findings Employment. The employment data in Chicago from 1990 to 2000 was very different than it was for the entire U.S. Statistics showed that more people were employed, unemployed, or in
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