Statistical Methods for Research Workers
Course: Statistics (Stat) 401, section XE
Methods of analyzing and interpreting experimental and survey data. Statistical concepts and models; estimation; hypothesis tests with continuous and discrete data; simple and multiple linear regression and correlation; introduction to analysis of variance.
Prerequisite: Stat 101 (Principles of Statistics) or 104 (Introduction to Statistics) or 105 (Introduction to Statistics for Engineers) or 226 (Introduction to Business Statistics I)
Computer requirements: Windows-based PC
Dates: January 8-May 4
Day/Time: Monday and Wednesday 6:30-9:00 p.m.
Delivery method: streaming media (live or archived available 24 hours per day, 7 days per week)
Credit: 4 undergraduate or nonmajor graduate credits
Tuition: undergraduate $848, graduate $1320
Delivery fee: $600
Computer fee applies--see table
Off-campus programs: Master of Community and Regional Planning, Master of Family and Consumer Sciences, Master of Public Administration, Master of School Mathematics
Instructor: Mack Shelley, Professor
Registration deadline: January 5
Text: Agresti and Finlay. Statistical Methods for the Social Sciences. 3rd ed. Prentice Hall. ISBN 0135265266.