Addison-Wesley is proud to celebrate the Tenth Edition of Elementary Statistics.  This text is highly regarded because of its engaging and understandable introduction to statistics. The author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.

 Students learning from Elementary Statistics should have completed an elementary algebra course. Although formulas and formal procedures can be found throughout the text, the emphasis is on development of statistical literacy and critical thinking.

Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he has taught statistics for over 30 years. Marty is the author of Elementary Statistics, 10th Edition, Elementary Statistics Using Excel, Elementary Statistics Using the TI-83 84 Plus Calculator, and he is a co-author of Biostatistics for the Biological and Health Sciences, Statistical Reasoning for Everyday Life and Business Statistics. He has written several manuals and workbooks for technology supporting statistics education. Outside of the classroom, Marty has been a speaker at many conferences and colleges. His consulting work includes the design of casino slot machines and fishing rods, and he has worked with attorneys in determining probabilities in paternity lawsuits, identifying salary inequities based on gender, analyzing disputed election results, analyzing medical data, and analyzing medical school surveys. Marty has testified as an expert witness in New York State Supreme Court. The Text and Academic Authors Association has awarded Mario F. Triola a “Texty” for Excellence for his work on Elementary Statistics.

1. Introduction to Statistics

1-1 Overview

1-2 Types of Data

1-3 Critical Thinking

1-4 Design of Experiments

2. Summarizing and Graphing Data

2-1 Overview

2-2 Frequency Distributions

2-3 Histograms

2-4 Statistical Graphics

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)

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 Probabilities Through Simulations

4-7 Counting

4-8 Bayes’ Theorem (on CD-ROM)

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

5-5 The Poisson Distribution

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

6-7 Assessing Normality

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

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

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

9-5 Comparing Variation in Two Samples

10. Correlation and Regression

10-1 Overview

10-2 Correlation

10-3 Regression

10-4 Variation and Prediction Intervals

10-5 Multiple Regression

10-6 Modeling

11. Multinomial Experiments and Contingency Tables

11-1 Overview

11-2 Multinomial Experiments: Goodness-of-Fit

11-3 Contingency Tables: Independence and Homogeneity

11-4 McNemar’s Test for Matched Pairs

12. Analysis of Variance

12-1 Overview

12-2 One-Way ANOVA

12-3 Two-Way ANOVA

13. Nonparametric Statistics

13-1 Overview

13-2 Sign Test

13-3 Wilcoxon Signed-Ranks Test for Matched Pairs

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

13-5 Kruskal-Wallis Test

13-6 Rank Correlation

13-7 Runs Test for Randomness

14. Statistical Process Control

14-1 Overview

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: Glossary

Appendix D: Bibliography

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

Credits

Index