EMP: Statistical Decision Analysis

Statistical Decision Analysis

In preparation for our course in March, please read through these links from Sessions 0-2:

An Overview of Statistics
Notes on estimation
Notes on hypothesis testing
Notes on regression analysis
The KStat regression package

The rest of the Session 0-2 material comes from my executive MBA course at Kellogg. Please feel free to use any of this (optional) material for further review. During the "statistics" portion of our course, we'll be working through the Session 3-4 material.

Session 0: Introduction – An overview of statistics
Session 1: What is statistics?
- The language of estimation: How much can an estimate be trusted?
- Sampling.
- The language of hypothesis testing: How strongly does evidence contradict a statement that has been made?
Session 2: Regression analysis.
Session 3: Correlation. Regression modeling.
Session 4: Dealing with outliers