Expand your statistics toolkit, learning how to make good decisions with limited data.

35 Lessons

We make many day-to-day decisions without seeing the big picture. Sometimes things turn out in our favor, sometimes not. Scientists, engineers, and other technically-minded people also make judgments using limited information. However, their fields have exacting standards, so a toolkit for making good conclusions from small data samples is invaluable to them.

This course covers the essential statistical methods that provide a mathematically sound basis for inferring general statements from limited data.

- ANOVA
- Bias
- Chi-square test
- Contingency tables
- F-test
- Goodness of fit
- Mean comparison
- Power
- Proportion comparison
- p-value
- Sampling
- t-test