STA-201: PRINCIPLES OF STATISTICS

PROJECT DESCRIPTIONStatistics is about more than calculations. It is about turnin" rel="nofollow">ing data in" rel="nofollow">into in" rel="nofollow">information and usin" rel="nofollow">ing this in" rel="nofollow">information to understand the population. A statistician will be asked to help solve real-world problems by designin" rel="nofollow">ing a study, collectin" rel="nofollow">ing data, analyzin" rel="nofollow">ing the data, and writin" rel="nofollow">ing up the results. As a fin" rel="nofollow">inal project, you will be asked to do somethin" rel="nofollow">ing similar. Though the design and data collection will be done for you, you will be asked to analyze the data usin" rel="nofollow">ing the appropriate tests (ensurin" rel="nofollow">ing the data are distributed normally) and write up the results, usin" rel="nofollow">ing statistical evidence to support your fin" rel="nofollow">indin" rel="nofollow">ings. Lastly, you will be asked to in" rel="nofollow">include recommendations, that is, apply the results to solve the real world problem. In your paper, explain" rel="nofollow">in why you chose each statistical test, figure, or procedure. The Problem Due to fin" rel="nofollow">inancial hardship, the Nyke Shoe Company feels they only need to make one size of shoes, regardless of gender or height. They have collected data on gender, shoe size, and height and have asked you to tell them if they can change their busin" rel="nofollow">iness model to in" rel="nofollow">include only one size of shoes—regardless of height or gender of the wearer. In no more than 5–10 pages (in" rel="nofollow">includin" rel="nofollow">ing figures), explain" rel="nofollow">in your recommendations, usin" rel="nofollow">ing statistical evidence to support your fin" rel="nofollow">indin" rel="nofollow">ings. The data found are given in" rel="nofollow">in the followin" rel="nofollow">ing table. Shoe Size Height Gender 5.00 63.00 Female 7.50 70.00 Female 9.00 70.00 Female 7.00 64.00 Male 11.00 72.00 Male 12.00 72.00 Male 14.00 76.00 Male 7.00 66.00 Female 7.50 71.00 Female 8.00 68.00 Female 10.50 71.00 Male 11.00 71.00 Male 6.50 65.00 Female 7.00 67.00 Female 7.50 70.00 Female 10.00 69.00 Male 12.00 69.00 Male 6.50 65.00 Female 10.50 72.00 Male 12.00 73.00 Male 6.00 60.00 Female 6.50 64.00 Female 10.00 72.00 Female 9.50 69.00 Male 11.50 70.00 Male 14.00 75.00 Male 6.50 63.00 Female 13.50 77.00 Male 7.00 68.00 Female 9.50 68.00 Male 13.00 72.00 Male 11.00 73.00 Male 6.00 62.00 Female 7.00 66.00 Female 7.50 70.00 Female Only use results in" rel="nofollow">in the paper. You may show your work in" rel="nofollow">in an appendix, if you would like. WEB RESOURCES The followin" rel="nofollow">ing lin" rel="nofollow">inks can be very helpful for you to prepare and write your fin" rel="nofollow">inal project paper. • OWL (Onlin" rel="nofollow">ine Writin" rel="nofollow">ing Lab) at Purdue University • Writer's Handbook, the Writin" rel="nofollow">ing Center at the University of Wisconsin" rel="nofollow">in–Madison • APA Guidelin" rel="nofollow">ines • DASL (The Data and Story Library that provides in" rel="nofollow">interestin" rel="nofollow">ing data for statistical analyses.) • Guidelin" rel="nofollow">ines to workin" rel="nofollow">ing on a statistical project