University Probability & Statistics
Before this course
Basic probability, conditional probability and algebra; integrals for continuous distributions.
Review a prerequisite lesson →- 01Random Variables, PMFs, PDFs & CDFs
Distinguish probability mass from density and connect a CDF with interval probabilities.
- 02Expectation, Variance & the CLT
Calculate weighted averages, scale variance correctly and interpret the spread of a sample mean.
- 03Estimation, Tests & Regression
Compute a basic interval and test statistic, and distinguish association from causation in regression.
After these topics
Further distributions, likelihood methods, multivariable regression and statistical diagnostics.
The topics above describe this library’s current scope, not a complete university course. Use the reference readings and written exercises to continue.