Chapter 1 Introduction

These chapters assume the reader is familiar with R Studio and basics of R programming such as R Scripts, variables, and vectors. Advanced knowledge of R programming is not required. Moreover, these chapters assume the reader is familiar with using Tidyverse packages such as ggplot2, dplyr, and tidyr for Data Wrangling and Data Visualization.

These chapters are also designed for readers who have had an introductory course in statistics. Ideally, the reader will have prior exposure to concepts such as Probability Distributions, Confidence Intervals, Hypothesis Tests, and Linear Regression. However such prior statistical knowledge is not strictly required since these chapters review key concepts from the ground up, just more quickly than a typical introductory statistics course since much of the focus is on R programming and simulation-based statistical techniques made practical by modern computing power.