Published by Pearson (March 13, 2024) © 2024
Ron Larson | Betsy FarberElementary Statistics: Picturing the World describes the world through statistics using stepped-out instruction, extensive real-life examples and exercises, and design that fits content to each page makes the material more digestible. The authors' combination of theory, teaching and learning aids, and design helps you understand concepts and use statistics to describe and think about our world.
This print textbook is available for students to rent for their classes. The Pearson print rental program provides students with affordable access to learning materials, so they come to class ready to succeed.
NOTE: Each chapter begins with "Where You've Been" and "Where You're Going" features. Each chapter concludes with Chapter Summary, Review Exercises, Chapter Quiz, and Chapter Test.
I. DESCRIPTIVE STATISTICS
- 1. Introduction to Statistics
- 1.1 An Overview of Statistics
- 1.2 Data Classification
- 1.3 Data Collection and Experimental Design
- 2. Descriptive Statistics
- 2.1 Frequency Distributions and Their Graphs
- 2.2 More Graphs and Displays
- 2.3 Measures of Central Tendency
- 2.4 Measures of Variation
- 2.5 Measures of Position
- Cumulative Review: Chapters 1 & 2
II. PROBABILITY AND PROBABILITY DISTRIBUTIONS
- 3. Probability
- 3.1 Basic Concepts of Probability and Counting
- 3.2 Conditional Probability and the Multiplication Rule
- 3.3 The Addition Rule
- 3.4 Additional Topics in Probability and Counting
- 4. Discrete Probability Distributions
- 4.1 Probability Distributions
- 4.2 Binomial Distributions
- 4.3 More Discrete Probability Distributions
- 5. Normal Probability Distributions
- 5.1 Introduction to Normal Distributions and the Standard Normal Distribution
- 5.2 Normal Distributions: Finding Probabilities
- 5.3 Normal Distributions: Finding Values
- 5.4 Sampling Distributions and the Central Limit Theorem
- 5.5 Normal Approximations to Binomial Distributions
- Cumulative Review: Chapters 3-5
III. STATISTICAL INFERENCE
- 6. Confidence Intervals
- 6.1 Confidence Intervals for the Mean (Known)
- 6.2 Confidence Intervals for the Mean (Unknown)
- 6.3 Confidence Intervals for Population Proportions
- 6.4 Confidence Intervals for Variance and Standard Deviation
- 7. Hypothesis Testing with One Sample
- 7.1 Introduction to Hypothesis Testing
- 7.2 Hypothesis Testing for the Mean (Known)
- 7.3 Hypothesis Testing for the Mean (Unknown)
- 7.4 Hypothesis Testing for Proportions
- 7.5 Hypothesis Testing for Variance and Standard Deviation
- 8. Hypothesis Testing with Two Samples
- 8.1 Testing the Difference Between Means (Independent Samples, 1 and 2 Known)
- 8.2 Testing the Difference Between Means (Independent Samples, 1 and 2 Unknown)
- 8.3 Testing the Difference Between Means (Dependent Samples)
- 8.4 Testing the Difference Between Proportions
- Cumulative Review: Chapters 6-8
IV. MORE STATISTICAL INFERENCE
- 9. Correlation and Regression
- 9.1 Correlation
- 9.2 Linear Regression
- 9.3 Measures of Regression and Prediction Intervals
- 9.4 Multiple Regression
- 10. Chi-Square Tests and the F-Distribution
- 10.1 Goodness-of-Fit Test
- 10.2 Independence
- 10.3 Comparing Two Variances
- 10.4 Analysis of Variance
- Cumulative Review: Chapters 9 & 10
- 11. Nonparametric Tests (Online Only)*
- 11.1 The Sign Test
- 11.2 The Wilcoxon Tests
- 11.3 The Kruskal-Wallis Test
- 11.4 Rank Correlation
- 11.5 The Runs Test
- * Available in MyLab Statistics
Appendix A: Alternative Presentation of the Standard Normal Distribution
- Standard Normal Distribution Table
- Alternative Presentation of the Standard Normal Distribution
Appendix B: Tables
- Table 1 Random Numbers
- Table 2 Binomial Distribution
- Table 3 Poisson Distribution
- Table 4 Standard Normal Distribution
- Table 5 t-Distribution
- Table 6 Chi-Square Distribution
- Table 7 F-Distribution
- Table 8 Critical Values for the Sign Test
- Table 9 Critical Values for the Wilcoxon Signed-Rank Test
- Table 10 Critical Values for the Spearman Rank Correlation Coefficient
- Table 11 Critical Values for the Pearson Correlation Coefficient
- Table 12 Critical Values for the Number of Runs