Key Topics: Introduction to Statistics; Summarizing and Graphing Data; Statistics for Describing, Exploring, and Comparing Data; Probability; Probability Distributions; Normal Probability Distributions; Estimates and Sample Sizes; Hypothesis Testing; Inferences from Two Samples; Correlation and Regression; Chi-Square and Analysis of Variance.

Market: For all readers interested in Statistics.

Chapter 1 Introduction to Statistics 

1-1 Overview

1-2 Types of Data

1-3 Critical Thinking

1-4 Design of Experiments

Chapter 2 Summarizing and Graphing Data

2-1 Overview

2-2 Frequency Distributions

2-3 Histograms

2-4 Statistical Graphics

Chapter 3 Statistics for Describing, Exploring, and Comparing Data

3-1 Overview

3-2 Measures of Center

3-3 Measures of Variation

3-4 Measures of Relative Standing

3-5 Exploratory Data Analysis (EDA)

Chapter 4 Probability

4-1 Overview  

4-2 Fundamentals  

4-3 Addition Rule  

4-4 Multiplication Rule: Basics  

4-5 Multiplication Rule: Complements and Conditional Probability 

4-6 Counting  

4-7 Bayes' Theorem (on CD-ROM)

Chapter 5 Probability Distributions 

5-1 Overview 

5-2 Random Variables 

5-3 Binomial Probability Distributions 

5-4 Mean, Variance, and Standard Deviation for the Binomial Distribution 

Chapter 6  Normal Probability Distributions 

6-1 Overview 

6-2 The Standard Normal Distribution 

6-3 Applications of Normal Distributions 

6-4 Sampling Distributions and Estimators 

6-5 The Central Limit Theorem 

6-6 Normal as Approximation to Binomial  

Chapter 7 Estimates and Sample Sizes  

7-1 Overview  

7-2 Estimating a Population Proportion  

7-3 Estimating a Population Mean: σ Known 

7-4 Estimating a Population Mean: σ Not Known 

7-5 Estimating a Population Variance  

Chapter 8 Hypothesis Testing 

8-1 Overview 

8-2 Basics of Hypothesis Testing 

8-3 Testing a Claim about a Proportion 

8-4 Testing a Claim about a Mean: σ Known 

8-5 Testing a Claim about a Mean: σ Not Known 

8-6 Testing a Claim about Variation 

Chapter 9 Inferences from Two Samples  

9-1 Overview   

9-2 Inferences about Two Proportions   

9-3 Inferences about Two Means: Independent Samples  

9-4 Inferences from Matched Pairs  

Chapter 10 Correlation and Regression 

10-1 Overview 

10-2 Correlation 

10-3 Regression 

10-4 Variation and Prediction Intervals 

10-5 Rank Correlation 

Chapter 11 Chi-Square and Analysis of Variance 

11-1 Overview 

11-2 Multinomial Experiments: Goodness-0f-Fit 

11-3 Contingency Tables: Independence and Homogeneity 

11-4 Analysis of Variance 

Appendices 

Appendix A:Tables 

Appendix B: Data Sets 

Appendix C:Answers to Odd-Numbered Exercises (and All Review

Exercises and All Cumulative Review Exercises) 

Credits 

Index