With luck, the online precourse can be found here. (Otherwise, please contact KIS as soon as possible.)

**As well, the interspersed links below summarize and expand upon portions of the online course. I recommend that you read through them as well before the course starts.**

In Week 1, we'll use the sample mean (x̅) and sample standard deviation (s) in order to make estimates using simulation, and in order to say how much our estimates can be "trusted". During Week 4, we'll discuss the sample mean and sample standard deviation in more detail.

During Weeks 4 and 5, we'll discuss various sampling methods, including both stratified sampling, and cluster sampling.

- Probability (pages 36-61).
Approaching complex problems via decomposition discusses managerial "thinking" in general, and learning how to deal with probabilities in specific.

Probability diagrams illustrates the major "rules" for working with probabilities.

Counting (not covered in the precourse) covers a simple "life" skill. - Conditional probabilities (pages 62-73).
Updating beliefs introduces "conditional" probabilities.

Computing probabilities provides one example for each standard approach for attacking probability problems. If none of these approaches yields a successful line of attack, simulation (covered during Week 1) is the fallback alternative.

Probability basics summarizes the "rules" for working with probabilities, and with expected values, variances, and standard deviations.

- Estimation (pages 110-138) Week 4
- Hypothesis testing (not in precourse). Week 4