About
This book is intended for an introductory course in probability and statistics for economics and business majors. The book introduces students to the R statistical programming language and uses R to illustrate the various concepts throughout. The book uses examples from economics, finance, and business, stresses asymptotic inference, and utilizes computer simulation techniques.
Table of Contents
- The Basics of R
- Introduction to Probability Theory
- Conditional Probabilities and Independence
- Combinatorics (Counting Methods)
- Economic Data and Sampling
- Descriptive Statistics and Visuals: Univariate Data
- Descriptive Statistics and Visuals: Bivariate Data
- Discrete Random Variables
- Models of Discrete Random Variables
- Continuous Random Variables
- Models of Continuous Random Variables
- Sampling Distributions: Exact
- Sampling Distributions: Asymptotic
- Estimation and Confidence Intervals
- The Bootstrap
- Hypothesis Testing
- Simple Linear Regression
- Multiple Linear Regression