Elementary Statistics

Mario Triola’s Elementary Statistics remains the market-leading introductory statistics textbook because it engages readers with an abundance of real data in the examples, applications, and exercises. Statistics is all around us in our daily lives, and Triola is dedicated to finding new real-world examples and data sets that make sense for today’s reader. The Eleventh Edition contains more than 2000 exercises, 87% of which are new, and 82% of which use real data. It also contains hundreds of examples, 86% of which are new and 94% of which use real data. By analyzing real data, students are able to connect abstract concepts to the world at large. As a result, they gain conceptual understanding and learn to think statistically, using the same methods that professional statisticians employ.

Introduction to Statistics; Summarizing and Graphing Data; Statistics for Describing, Exploring, and Comparing Data; Probability; Discrete Probability Distributions; Normal Probability Distributions; Estimates and Sample Sizes; Hypothesis Testing; Inferences from Two Samples; Correlation and Regression; Goodness-of-Fit and Contingency Tables; Analysis of Variance; Nonparametric Statistics; Statistics Process Control; Projects, Procedures, Perspectives

  For all readers interested in introductory statistics.

Mario Triola’s Elementary Statistics remains the market-leading introductory statistics textbook because it engages students with an abundance of real data in the examples, applications, and exercises. Statistics is all around us in our daily lives, and Triola is dedicated to finding new real-world examples and data sets for you to use in your classroom.

The Eleventh Edition contains more than 2000 exercises, 87% of which are new, and 82% of which use real data. It also contains hundreds of examples, 86% of which are new and 94% of which use real data. By analyzing real data, students are able to connect abstract concepts to the world at large. As a result, they gain conceptual understanding and learn to think statistically, using the same methods that professional statisticians employ.

  This text comes packaged with a CD-ROM that includes data sets in various formats and other resources. Data sets and other resources for this book are also available at our website.

1. Introduction to Statistics

1-1 Review and Preview

1-2 Statistical Thinking

1-3 Types of Data

1-4 Critical Thinking

1-5 Design of Experiments

2. Summarizing and Graphing Data

2-1 Review and Preview

2-2 Frequency Distributions

2-3 Histograms

2-4 Statistical Graphics

2-5 Critical Thinking: Bad Graphs

3. Statistics for Describing, Exploring, and Comparing Data

3-1 Review and Preview

3-2 Measures of Center

3-3 Measures of Variation

3-4 Measures of Relative Standing and Boxplots

4. Probability

4-1 Review and Preview

4-2 Fundamentals

4-3 Addition Rule

4-4 Multiplication Rule: Basics

4-5 Multiplication Rule: Complements and Conditional Probability

4-6 Probabilities Through Simulations

4-7 Counting

4-8 Bayes' Theorem (on CD-ROM)

5. Discrete Probability Distributions

5-1 Review and Preview

5-2 Random Variables

5-3 Binomial Probability Distributions

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

5-5 The Poisson Distribution

6. Normal Probability Distributions

6-1 Review and Preview

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

6-7 Assessing Normality

7. Estimates and Sample Sizes

7-1 Review and Preview

7-2 Estimating at Population Proportion

7-3 Estimating Population Mean: ? Known

7-4 Estimating a Population Mean: ? Not Known

7-5 Estimating a Population Variance

8. Hypothesis Testing

8-1 Review and Preview

8-2 Basics of Hypothesis Testing

8-3 Testing a Claim About a Proportion

8-4 Testing a Claim About a Mean: ? Known

8-5 Testing a Claim About a Mean: ? Not Known

8-6 Testing a Claim About Variation

9. Inferences from Two Samples

9-1 Review and Preview

9-2 Inferences About Two Proportions

9-3 Inferences About Two Means: Independent Samples

9-4 Inferences from Matched Pairs

9-5 Comparing Variation in Two Samples

10. Correlation and Regression

10-1 Review and Preview

10-2 Correlation

10-3 Contingency Tables

10-4 Variation and Prediction Intervals

10-5 Multiple Regression

10-6 Modeling

11. Goodness-of-Fit and Contingency Tables

11-1 Review and Preview

11-2 Goodness-of-Fit

11-3 Contingency Tables

11-4 McNemar's Test for Matched Pairs

12. Analysis of Variance

12-1 Review and Preview

12-2 One-Way ANOVA

12-3 Two-Way ANOVA

13. Nonparametric Statistics

13-1 Review and Preview

13-2 Sign Test

13-3 Wilcoxon Signed Ranks Test for Matched Pairs

13-4 Wilcoxon Ranked-Sum Test for Two Independent Samples

13-5 Kruskal-Wallis Test

13-6 Rank Correlation

13-7 Runs Test for Randomness

14. Statistics Process Control

14-1 Review and Preview

14-2 Control Charts for Variation and Mean

14-3 Control Charts for Attributes

15. Projects, Procedures, Perspectives

15-1 Projects

15-2 Procedure

15-3 Perspective

Appendices

Appendix A: Tables

Appendix B: Data Sets

Appendix C: Bibliography of Books and Websites

Appendix D: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)

Credits

Index