data aggregation and reduction (downloadable)
DESCRIPTION
MBA-TM academic presentation. Trans + references. Overview of statistical analysis methods at a fictitious company.TRANSCRIPT
WidgeCorpData Aggregation and Reduction Report
Mark Carlson P2IPMGM600-0802B-04
Introduction• U.S. and 60614 Variables Compared
– Travel time to work– Population– Means of Transportation– Household income percentages
• Conclusion
Travel Time to Work• Slightly longer commute times for 60614
Population • More stable population than U.S.
Means of Transportation to Work• Public transportation used more with 60614
Household Income Percentage(2000)
<75+
65-74
54-64
45-54
35-44
25-34
<25
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
<75+
65-74
54-64
45-54
35-44
25-34
<25
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
ages
percentage
percentage
60614
U.S.
ages
Box Plot Key
• Young household for 60614
Conclusion• For the 60614 Chicago market
– Focus vending routes around public transportation
– Keep marketing aligned with 60614– Smaller, younger family units
ReferencesCTU Online. (2008). Phase 2 course material text.
Colorado Springs, CO: CTU Online. Retrieved June 5, 2008, from CTU Online, Virtual Campus, MGM600-0802B-04: Applied Managerial Decision-Making. https://campus.ctuonline.edu
Lind, D., Marchal, W., Wathen, S. (2008). Statistical techniques in business & economics. (13 ed.). New York, NY: McGraw-Hill Irwin.
Summary reports. (n.d.). Retrieved March 3, 2006, from the Free Demographics Service on the American Marketing Association Web site: http://www.marketingpower.com/content753.php
Yale University Department of Statistics (n.d.). Boxplot. Retrieved June 9, 2008 from http://www.stat.yale.edu/Courses/1997-98/101/boxplot.htm