Preface
Chapter 1  Sampling and Data
Introduction
1.1 Definitions of Statistics, Probability, and Key Terms
1.2 Data, Sampling, and Variation in Data and Sampling
1.3 Levels of Measurement
1.4 Experimental Design and Ethics
Key Terms
Chapter Review
Homework
References
Solutions
Chapter 2  Descriptive Statistics
Introduction
2.1 Display Data
2.2 Measures of the Location of the Data
2.3 Measures of the Center of the Data
2.4 Sigma Notation and Calculating the Arithmetic Mean
2.5 Geometric Mean
2.6 Skewness and the Mean, Median, and Mode
2.7 Measures of the Spread of the Data
Key Terms
Chapter Review
Formula Review
Practice
Homework
Bringing It Together: Homework
References
Solutions
Chapter 3  Probability Topics
Introduction
3.1 Terminology
3.2 Independent and Mutually Exclusive Events
3.3 Two Basic Rules of Probability
3.4 Contingency Tables and Probability Trees
3.5 Venn Diagrams
Key Terms
Chapter Review
Formula Review
Practice
Bringing It Together: Practice
Homework
Bringing It Together: Homework
References
Solutions
Chapter 4  Discrete Random Variables
Introduction
4.1 Hypergeometric Distribution
4.2 Binomial Distribution
4.3 Geometric Distribution
4.4 Poisson Distribution
Key Terms
Chapter Review
Formula Review
Practice
Homework
References
Solutions
Chapter 5  Continuous Random Variables
Introduction
5.1 Properties of Continuous Probability Density Functions
5.2 The Uniform Distribution
5.3 The Exponential Distribution
Key Terms
Chapter Review
Formula Review
Practice
Homework
References
Solutions
Chapter 6  The Normal Distribution
Introduction
6.1 The Standard Normal Distribution
6.2 Using the Normal Distribution
6.3 Estimating the Binomial with the Normal Distribution
Key Terms
Chapter Review
Formula Review
Practice
Homework
References
Solutions
Chapter 7  The Central Limit Theorem
Introduction
7.1 The Central Limit Theorem for Sample Means
7.2 Using the Central Limit Theorem
7.3 The Central Limit Theorem for Proportions
7.4 Finite Population Correction Factor
Key Terms
Chapter Review
Formula Review
Practice
Homework
References
Solutions
Chapter 8  Confidence Intervals
Introduction
8.1 A Confidence Interval When the Population Standard Deviation Is Known or Large Sample Size
8.2 A Confidence Interval When the Population Standard Deviation Is Unknown and Small Sample Case
8.3 A Confidence Interval for A Population Proportion
8.4 Calculating the Sample Size n: Continuous and Binary Random Variables
Key Terms
Chapter Review
Formula Review
Practice
Homework
References
Solutions
Chapter 9  Hypothesis Testing with One Sample
Introduction
9.1 Null and Alternative Hypotheses
9.2 Outcomes and the Type I and Type II Errors
9.3 Probability Distribution Needed for Hypothesis Testing
9.4 Full Hypothesis Test Examples
Key Terms
Chapter Review
Formula Review
Practice
Homework
References
Solutions
Chapter 10  Hypothesis Testing with Two Samples
Introduction
10.1 Comparing Two Independent Population Means
10.2 Cohen's Standards for Small, Medium, and Large Effect Sizes
10.3 Test for Differences in Means: Assuming Equal Population Variances
10.4 Comparing Two Independent Population Proportions
10.5 Two Population Means with Known Standard Deviations
10.6 Matched or Paired Samples
Key Terms
Chapter Review
Formula Review
Practice
Homework
Bringing It Together: Homework
References
Solutions
Chapter 11  The Chi-Square Distribution
Introduction
11.1 Facts About the Chi-Square Distribution
11.2 Test of a Single Variance
11.3 Goodness-of-Fit Test
11.4 Test of Independence
11.5 Test for Homogeneity
11.6 Comparison of the Chi-Square Tests
Key Terms
Chapter Review
Formula Review
Practice
Homework
Bringing It Together: Homework
References
Solutions
Chapter 12  F Distribution and One-Way ANOVA
Introduction
12.1 Test of Two Variances
12.2 One-Way ANOVA
12.3 The F Distribution and the F-Ratio
12.4 Facts About the F Distribution
Key Terms
Chapter Review
Formula Review
Practice
Homework
References
Solutions
Chapter 13  Linear Regression and Correlation
Introduction
13.1 The Correlation Coefficient r
13.2 Testing the Significance of the Correlation Coefficient
13.3 Linear Equations
13.4 The Regression Equation
13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation
13.6 Predicting with a Regression Equation
13.7 How to Use Microsoft Excel® for Regression Analysis
Key Terms
Chapter Review
Practice
Solutions
Appendix A Statistical Tables
Appendix B Mathematical Phrases, Symbols, and Formulas
Index