# R Guidebook

Here is an R Guidebook that may be used in conjunction with any of the Sullivan Statistics titles.

• Chapter 2 Organizing and Summarizing Data
• 2.1 Organizing Qualitative Data
• 2.2 Organizing Quantitative Data: The Popular Displays
• 2.3 Additional Displays of Quantitative Data
• Chapter 4 Describing the Relation between Two Variables
• 4.1 Scatter Diagrams and Correlation
• 4.2 Least-Squares Regression
• 4.3 Diagnostics on the Least-Squares Regression Line
• 4.4 Contingency Tables and Association
• Chapter 6 Discrete Probability Distributions
• Section 6.1 Discrete Random Variables
• Section 6.2 The Binomial Probability Distribution
• Section 6.3 The Poisson Probability Distribution
• Chapter 7 The Normal Probability Distribution
• Section 7.1 Properties of the Normal Distribution
• Section 7.2 Applications of the Normal Distribution
• Section 7.3 Assessing Normality
• Chapter 8 Sampling Distributions
• Section 8.1 Distribution of the Sample Mean
• Section 8.2 Distribution of the Sample Proportion
• Chapter 9 Estimating the Value of a Parameter
• Section 9.1 Estimating a Population Proportion
• Section 9.2 Estimating a Population Mean
• Section 9.3 Estimating a Population Standard Deviation
• Section 9.5 Estimating with Bootstrapping
• Chapter 10 Hypothesis Test Regarding a Parameter
• Section 10.2/10.2B Hypothesis Test for a Population Proportion
• Section 10.3 Hypothesis Tests for a Population Mean
• Section 10.3A Using Simulation and the Bootstrap to Perform Hypothesis Tests on a Population Mean
• Section 10.4 Hypothesis Tests for a Population Standard Deviation
• Chapter 11 Inference about Two Population Parameters
• Chapter 12 Inference on Categorical Data
• Chapter 13
• Chapter 14