Data Analysis
Math 26
Spring 1999
Professor Bradley A. Hartlaub
Office 21 Ascension Hall
Phone PBX 5405
e-mail hartlaub@kenyon.edu
Office Hours MWF 10:00 - 11:00 & Thursday 1:00 - 2:40
Additional appointments are available; please don't hesitate to ask for help.
Textbooks
Devore, J. L. and Peck, R. L. (1997), Statistics, The Exploration and Analysis of Data, Third Edition, Belmont, CA: Wadsworth Publishing Company.
Elliott, Rebecca J. (1995), Learning SAS in the Computer Lab, Belmont, CA: Wadsworth Publishing Company.
Statistical Packages & Computing
SAS and MINITAB will be used extensively throughout the course. Assignments and course announcements will be sent to you via e-mail using a distribution list. Data sets and programs will be placed in P:\Data\Math\DataAnalysis. Proper maintenance of computer accounts, files, etc. is your responsibility. I strongly recommend that you purchase two high density disks and back up your data sets and sas programs on a regular basis.
Homework
Homework assignments will be given throughout the semester. I encourage you to work on as many problems as possible. This includes problems which have not been assigned. Homework will be collected and graded. Working with other students is encouraged, but each student must submit her/his own solution for problems to be collected.
Final Project
Each student will find a data set and apply an appropriate analysis. Ideally, this data set will be one which you collect yourself or obtain from a local resource. That is, I encourage you to design and conduct your own experiment. The variables in the data set and the purpose of the study must be clearly defined. If the data is obtained from a periodical, the date of publication must be later than January 1, 1994. Summaries of your proposed analysis must be submitted on or before Thursday, April 15. Final papers explaining the problem of interest, your analysis, and your conclusions must be submitted on or before Thursday, May 13.
Late Policy
Your work must be turned in at the beginning of the class period on the assigned due date. No credit will be given for late papers. If for any reason you cannot turn in your paper on the assigned date, you must contact me before class. If you are unable to contact me, you can leave a message with the secretaries in Ascension Hall or send e-mail to hartlaub@kenyon.edu.
Exam
Thursday, March 4 Midterm Exam
Small Group Projects
You will be asked to solve two practical data analysis problems with at least one other member of the class. The deadlines and more detailed instructions on the projects will be announced in class, but you can expect one of them to be due before the end of March and the other one to be due before the end of April.
Grades
Your course grade will be based on your overall percentage. The categories used to determine your overall percentage and their respective weights are listed below.
Homework 25%
Small Group Projects 20%
Midterm Exam 25%
Final Project 30%
Class participation will be used to help make borderline decisions.
Course Outline
Chapter 7 Sampling Variability and Sampling Distributions (Review)
Chapter 8 Estimation Using a Single Sample (Review)
Chapter 9 Hypothesis Testing Using a Single Sample (Review)
Chapter 10 Comparing Two Populations or Treatments
Chapter 13 The Analysis of Variance
Chapter 11 Simple Linear Regression and Correlation: Inferential Methods
Chapter 12 Multiple Regression Analysis
Chapter 14 The Analysis of Categorical Data and Goodness-of-Fit Tests