Part I Descriptive Introduction and Framework.- Frequency Measures and Graphical Representation of Data.- Measures of Central Tendency and Dispersion.- Association of Two Variables.- Part I Probability Combinatorics.- Elements of Probability Theory.- Random Variables.- Probability Distributions.- Part III Inductive Inference.- Hypothesis Testing.- Linear Regression.- Part IV Introduction to R .- Solutions to Exercises.- Technical Appendix.- Visual Summaries.
Excellent. The perfect warm up for learning in stats and DA. This book was a jumping off book for more complex topics in regression, Bayesian statistics, time series analysis and multi-level models.