I don't know if this is the right group for this question but my question concerns teaching a somewhat short version of MBA level Statistics (10 meetings for 3 hours each meeting). I want to go through the underlying theory carefully and to cover the following at least: 1 What is Statistics? Descriptive Statistics 2 Probability 3 Discrete Random Variables 4 Continuous Random Variables 5 Sampling Distributions 6 Estimation 7 Inferences Based on a Single Sample or Two Samples 8 Regression 9 Multiple Regression, Model Building 10 Time Series
We are using McClave and Benson. Generally there is not really anytime to do anything else but I want to include some good "case studies" and I have a book by Andrew Siegel that has excellent current examples. I want to ask the students to either explain how one of the topics relates to their work (they are all currently employed and in positions where they could face topics related to the course) or to present one of the example/case studies from the Siegel book. Does anyone have any suggestions on how to ask the students to prepare such presentations? What should I ask them to do. For example, if they choose to present an example from the book, simply reading the example to the class is not really exciting, challenging, nor useful. If anyone has any ideas I would appreciate hearing from you. Thank you, WBC . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
