List of Figures
List of Tables
Chapter 1 Introduction
What is Statistics?
Assumed Prerequisites
More on Statistics
Chapter 2 Descriptive Statistics
Categorical Data
Numerical Data
Graphs for Quantitative Variables
Box and Whisker Plots
Another Complete Example
Another Complete Example
Exercises
Chapter 3 Probability
Contingency Tables Problems
Making the Table
Tree Diagrams
Bayes Rule
Counting
Exercises
Chapter 4 Discrete Random Variables
Intro to Discrete Random Variables
Binomial Random Variables
Hyper-Geometric Variables
Geometric Random Variables
Poisson Random Variables
Exercises
Chapter 5 Continuous Random Variables
Introduction to Continuous Random Variables
Uniform Random Variables
Exponential Random Variables
Normal Random Variables
Exercises
Chapter 6 Sampling Distributions
Intro to Sampling Distributions
The Formulas
Another Application
Exercises
Chapter 7 Confidence Intervals
Introduction to Confidence Intervals
Background
Finding Confidence Intervals for µ when σ is known
Finding Confidence Intervals for µ when σ is NOT known Finding Confidence Intervals for p the population proportion The “Real” meaning of Confidence Intervals
Determining the Sample Size
Exercises
Chapter 8 Hypothesis Testing
Introduction
Hypothesis Testing for a Single Mean
A Five-Step Process for Hypothesis Tests
Type I and Type II Errors
Hypothesis Testing for a Population Proportion
Exercises
Chapter 9 Inference for Two Means
Hypothesis Testing for a Two Means
Paired Difference Experiments
Limitations of Hypothesis Tests
Exercises
Chapter 10 Categorical Data Analysis
Lack of Fit
Test of Association
Exercises
Chapter 11 Linear Regression
Basics
Inference for the Slope
Basic Residual Analysis
Exercises
Chapter 12 Appendix
R Code used within Textbook
Chapter 2: Descriptive Statistics
Chapter 3: Probability
Chapter 4: Discrete Random Variables
Chapter 5: Continuous Random Variables
Chapter 6: Sampling Distribution
Chapter 7: Confidence Intervals for a Mean
Chapter 8: Hypothesis Test for a Mean
Chapter 9: Two Sample Inference (Means)
Chapter 10: Categorical Inference
Chapter 11: Regression
R Output from R code shown in Appendix
References