Introduction to statistics and data analysis : with exercises,solutions and applications in R - Heumann, Christian; Schomaker, Michael; Shalabh (Cham,Switzerland : Springer, 2022)
1. Introduction and Framework -- 2. Frequency Measures and Graphical Representation of Data -- 3. Measures of Central Tendency and Dispersion -- 4. Association of Two Variables -- 5. Combinatorics -- 6. Elements of Probability Theory -- 7. Random Variables -- 8. Probability Distributions -- 9. Inference -- 10. Hypothesis Testing -- 11. Linear Regression -- 12. Logistic Regression -- 13. imple Random Sampling and Bootstrapping -- 14. Causality
Includes bibliographical references (pages 575) and index (pages 577-584)
Keywords: Daya analysis; Problem solving -- Problems, exercises, etc; Statistics