Part I. Probability Functions, Probability Density Functions, and their Cumulative Counterparts: 1. Discrete probability and cumulative probability functions 2. Continuous density and cumulative distribution functions 3. Mixed-data probability density and cumulative distribution functions 4. Conditional probability density and cumulative distribution functions Part II. Conditional Moment Functions and Related Statistical Objects: 5. Conditional moment functions 6. Conditional mean function estimation 7. Conditional mean function estimation with endogenous predictors 8. Semiparametric conditional mean function estimation 9. Conditional variance function estimation Part III. Appendices: A. Large and small orders of magnitude and probability B. R, RStudio, TeX and Git C. Computational considerations D. R Markdown for assignments E. Practicum.