1. Introduction 
1.1 Reading, Writing and Statistics? 
1.2 Statistics: Fundamental for Business 
1.3 Data and Variables 
1.4 Basic Vocabulary of Statistics 
1.5 Statistical Applications for Desktop Computing 
1.6 How to Use This Book 

2. Organizing and Visualizing Data 
2.1 Data Collection 
2.2 Organizing Categorical Data 
2.3 Organizing Numerical Data 
2.4 Visualizing Categorical Data 
2.5 Visualizing Numerical Data 
2.6 Visualizing Two Numerical Variables 
2.7 Organizing Multidimensional Data 
2.8 Misuses and Common Errors in Visualizing Data 

3. Numerical Descriptive Measures 
3.1 Central Tendency 
3.2 Variation and Shape 
3.3 Exploring Numerical Data 
3.4 Numerical Descriptive Measures for a Population 
3.5 The Covariance and the Coefficient of Correlation 
3.6 Descriptive Statistics: Pitfalls and Ethical Issues 

4. Basic Probability 
4.1 Basic Probability Concepts 
4.2 Conditional Probability 
4.3 Bayes' Theorem 
4.4 Counting Rules 
4.5 Ethical Issues and Probability 

5. Discrete Probability Distributions 
5.1 The Probability Distribution for a Discrete Random Variable 
5.2 Binomial Distribution 
5.3 Poisson Distribution 

6. The Normal Distribution 
6.1 Continuous Probability Distributions 
6.2 The Normal Distribution 
6.3 Evaluating Normality 

7. Sampling and Sampling Distributions 
7.1 Types of Sampling Methods 
7.2 Evaluating Survey Worthiness 
7.3 Sampling Distributions 
7.4 Sampling Distribution of the Mean 
7.5 Sampling Distribution of the Proportion 

8. Confidence Interval Estimation 
8.1 Confidence Interval Estimate for the Mean (¿ Known) 
8.2 Confidence Interval Estimate for the Mean (¿ Unknown) 
8.3 Confidence Interval Estimate for the Proportion 
8.4 Determining the Sample Size 
8.5 Confidence Interval Estimation and Ethical Issues 

9. Fundamentals of Hypothesis Testing: OneSample Tests 
9.1 Fundamentals of HypothesisTesting Methodology 
9.2 t Test of Hypothesis for the Mean (¿ Unknown) 
9.3 OneTail Tests 
9.4 Z Test of Hypothesis for the Proportion 
9.5 Potential HypothesisTesting Pitfalls and Ethical Issues 

10. TwoSample Tests and OneWay ANOVA 
10.1 Comparing the Means of Two Independent Populations 
10.2 Comparing the Means of Two Related Populations 
10.3 Comparing the Proportions of Two Independent Populations 
10.4 F Test for the Ratio of Two Variances 
10.5 OneWay Analysis of Variance 

11. ChiSquare Tests 
11.1 ChiSquare Test for the Difference Between Two Proportions 
11.2 ChiSquare Test for Differences Among More Than Two Proportions 
11.3 ChiSquare Test of Independence 

12. Simple Linear Regression 
12.1 Types of Regression Models 
12.2 Determining the Simple Linear Regression Equation 
12.3 Measures of Variation 
12.4 Assumptions 
12.5 Residual Analysis 
12.6 Measuring Autocorrelation: The DurbinWatson Statistic 
12.7 Inferences About the Slope and Correlation Coefficient 
12.8 Estimation of Mean Values and Prediction of Individual Values 
12.9 Pitfalls in Regression 

13. Multiple Regression 
13.1 Developing a Multiple Regression Model 
13.2 r^{2} , Adjusted r^{2} , and the Overall F Test 
13.3 Residual Analysis for the Multiple Regression Model 
13.4 Inferences Concerning the Population Regression Coefficients 
13.5 Using Dummy Variables and Interaction Terms in Regression Models 

14. Statistical Applications in Quality Management (Online Chapter) 
14.1 The Theory of Control Charts 
14.2 Control Chart for the Proportion: The p Chart 
14.3 The Read Bead Experiment: Understanding Process Variability 
14.4 Control Charts for the Range and the Mean 
14.5 Total Quality Management 
14.6 Six Sigma 