ABSTRACT

Cohesively Incorporates Statistical Theory with R ImplementationSince the publication of the popular first edition of this comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for an intermediate undergraduate course, Probability and Statistics with R, Second Edition explores how some o

chapter 1|96 pages

- What Is R?

chapter 2|102 pages

- Exploring Data

chapter 3|50 pages

- General Probability and Random Variables

chapter 4|66 pages

- Univariate Probability Distributions

chapter 5|36 pages

- Multivariate Probability Distributions

chapter 6|54 pages

- Sampling and Sampling Distributions

chapter 7|48 pages

- Point Estimation

chapter 8|66 pages

- Confidence Intervals

chapter 9|68 pages

- Hypothesis Testing

chapter 10|110 pages

- Nonparametric Methods

chapter 11|84 pages

- Experimental Design

chapter 12|122 pages

- Regression