Elementary Statistics, 14th Edition ©2022

Elementary Statistics, published by Pearson,  brings an unprecedented amount of real-world data to lessons. Students apply statistical thinking and tools to issues they know. Conceptual clarity makes this program accessible to students with even a casual interest in the subject.

  • A wealth of new data sets, exercises, and examples
  • Emphasis on foundational skills
  • Integrates with MyMathLab® for School from Pearson to help every student

Elementary Statistics Program with Digital Integration

This statistics program helps students gain the confidence to apply procedures, interpret data, and develop critical thinking.

Big Data Sets

Students work at the forefront of statistics. Sets with thousands of cases help prepare them for progressing into the field of data science.


Revisions to the text prioritized readability and legibility. Our authors took care to ensure the information could be applied soon after students encountered it.

Skill Reinforcement

Lessons and chapters are structured to incentivize retention through quizzes, exercises, and other features that require conceptual thinking.

Teaching Flexibility

Teachers can address the needs of individual students and the whole class using MyMathLab for School’s online platform to check progress and assign differentiated materials.

Elementary Statistics Teaching Solutions for High School Math

  • Engage and Motivate Students Through Real Data
  • Applying Procedures, Interpreting Data, and Developing Statistical Thinking
  • Encourage Development of Conceptual Understanding
  • MyMathLab® for School from Pearson Features

  • Real Data Basis
    The vast majority of exercises, examples, and Chapter Problems are based on real data to make the course as relevant as possible.
  • Data Sets
    46 data sets, available in Appendix B and the MyMathLab for School, are referenced throughout the exercise sets, marked with a data set icon. Using these data sets help students gain statistical literacy and teach them to apply the same methodology and thought processes as professional statisticians.
  • Big or Very Large Data Projects
    New Big (or Very Large) Data Projects are located near the end of each chapter.
  • New Chapter Problems
    All Chapter Problems have been replaced, opening each chapter with real data to motivate students about the concepts they are about to learn. The problems are then revisited throughout the chapter.
  • Margin Essays
    134 revised margin essays highlight real-world topics and foster student interest.

  • Chapter Objectives
    Chapter Objectives summarize key learning goals for each section in the chapter.
  • Your Turn Feature
    Your Turn feature in many examples directs students to an applicable exercise so they can immediately practice what they learned.
  • Flowchart
    Flowcharts throughout the text help to simplify and clarify more complex concepts and procedures in a visual way for better understanding. New animated and narrated versions of the text’s flow charts and the associated homework can be assigned online.
  • End-of-Chapter Features
    End-of-Chapter features, such as Chapter Quick Quiz, Review Exercises, and Cumulative Review, provide all-important practice students need to retain what they learned.
  • Collaborative Group Activities
    Collaborative Group Activities foster active learning. From Data to Decision is a capstone problem for the chapter that requires critical thinking and writing. Other features ask students to think more conceptually.
  • Student Workbook
    The Student Workbook offers additional examples, concept exercises, and vocabulary exercises for each chapter, available in print or to download. Full solutions are available to instructors.

  • Technological Integration
    A variety of statistical technologies are integrated throughout the text, and support for each helps students at point-of-use.
  • Tech Center Subsection
    Sections end with a new Tech Center subsection, where appropriate, that includes new technology-specific videos and detailed instructions for statistical software.
  • New Technology
    New technology is integrated throughout. R and Google Sheets are included as an additional technology in the end-of-section Tech Centers where appropriate.
  • Old Technology
    The technologies of Statdisk, Minitab®, Excel®, StatCrunch®, and TI-83/TI-84 Plus® calculators continue to be included in the Tech Centers.
  • Statdisk
    Statdisk is a free and robust browser-based statistical program the author designed specifically for this book.
  • Technology Project
    A Technology Project is included with the end-of-chapter features.

  • Integrated Review
    Integrated Review embeds just-in-time remediation on prerequisite skills right into its exercises. The review includes videos and worksheets as learning aids for relevant exercises.
  • Video Program
    A comprehensive video program supports students at every turn. New Animated Flow Charts bring the book to life. Updated Chapter Review Videos help students understand key chapter concepts. Section Lecture Videos work through examples and elaborate key objectives.
  • Real-World Data
    Updated real-world data examples help students understand how statistics applies to everyday life. All data sets are available for easy download for use with any statistical software.
  • Tech Help Button
    A “Tech Help” button gives access to Technology Tutorial videos for all MyMathLab for School exercises that require it. These videos are appropriate for any software.

Empower Your Math Students with the MyMathLab® Platform from Pearson


MyMathLab® for School from Pearson lets you meet every student at their level with differentiated, trusted content that helps them succeed throughout the course.

PEARSON, MYLAB, MYMATHLAB, MATHXL, MASTERING, STATCRUNCH, REVEL and the Pearson Logo are trademarks owned and/or registered by Pearson plc and/or its affiliates. All other third party marks associated with these products are the property of their respective owners. Copyright in the works referenced herein is owned by Pearson Education, Inc. Pearson Education has control over the editorial content in these instructional materials.

AP® is a registered trademark of the College Board, which was not involved in the production of, and does not endorse, these products.

More about Elementary Statistics, 14th Edition

  • Mario F. Triola Author Bio

    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 Essentials of Statistics, 5th Edition, Elementary Statistics Using Excel, 6th Edition, Elementary Statistics Using the TI-83/84 Plus Calculator, 4th Edition, and he is a co-author of Biostatistics for the Biological and Health Sciences, 2nd Edition, Statistical Reasoning for Everyday Life, 5th Edition, and Business Statistics

    Elementary Statistics is currently available as an International Edition, and it has been translated into several foreign languages. Marty designed the original Statdisk statistical software, and he has written several manuals and workbooks for technology supporting statistics education. He has been a speaker at many conferences and colleges. Marty’s consulting work includes the design of casino slot machines. He has worked with attorneys in determining probabilities in paternity lawsuits, analyzing data in medical malpractice lawsuits, identifying salary inequities based on gender, and analyzing disputed election results. He has also used statistical methods in analyzing medical school surveys, and analyzing survey results for the New York City Transit Authority. Marty has testified as an expert witness in New York State Supreme Court. The Text and Academic Authors Association has awarded Marty a “Texty” for Excellence for his work on Elementary Statistics.

  • Table of Contents

    1. Introduction to Statistics

    • 1-1 Statistical and Critical Thinking
    • 1-2 Types of Data
    • 1-3 Collecting Sample Data
    • 1-4 Ethics in Statistics (download only)

    2. Exploring Data with Tables and Graphs

    • 2-1 Frequency Distributions for Organizing and Summarizing Data
    • 2-2 Histograms
    • 2-3 Graphs That Enlighten and Graphs That Deceive
    • 2-4 Scatterplots, Correlation, and Regression

    3. Describing, Exploring, and Comparing Data

    • 3-1 Measures of Center
    • 3-2 Measures of Variation
    • 3-3 Measures of Relative Standing and Boxplots

    4. Probability

    • 4-1 Basic Concepts of Probability
    • 4-2 Addition Rule and Multiplication Rule
    • 4-3 Complements, Conditional Probability, and Bayes’ Theorem
    • 4-4 Counting
    • 4-5 Simulations for Hypothesis Tests

    5. Discrete Probability Distributions

    • 5-1 Probability Distributions
    • 5-2 Binomial Probability Distributions
    • 5-3 Poisson Probability Distributions

    6. Normal Probability Distributions

    • 6-1 The Standard Normal Distribution
    • 6-2 Real Applications of Normal Distributions
    • 6-3 Sampling Distributions and Estimators
    • 6-4 The Central Limit Theorem
    • 6-5 Assessing Normality
    • 6-6 Normal as Approximation to Binomial (download only)

    7. Estimating Parameters and Determining Sample Sizes

    • 7-1 Estimating a Population Proportion
    • 7-2 Estimating a Population Mean
    • 7-3 Estimating a Population Standard Deviation or Variance
    • 7-4 Bootstrapping: Using Technology for Estimates

    8. Hypothesis Testing

    • 8-1 Basics of Hypothesis Testing
    • 8-2 Testing a Claim About a Proportion
    • 8-3 Testing a Claim About a Mean
    • 8-4 Testing a Claim About a Standard Deviation or Variance
    • 8-5 Resampling: Using Technology for Hypothesis Testing

    9. Inferences from Two Samples

    • 9-1 Two Proportions
    • 9-2 Two Means: Independent Samples
    • 9-3 Matched Pairs
    • 9-4 Two Variances or Standard Deviations
    • 9-5 Resampling: Using Technology for Inferences

    10. Correlation and Regression

    • 10-1 Correlation
    • 10-2 Regression
    • 10-3 Prediction Intervals and Variation
    • 10-4 Multiple Regression
    • 10-5 Nonlinear Regression

    11. Goodness-of-Fit and Contingency Tables

    • 11-1 Goodness-of-Fit
    • 11-2 Contingency Tables

    12. Analysis of Variance

    • 12-1 One-Way ANOVA
    • 12-2 Two-Way ANOVA

    13. Nonparametric Tests

    • 13-1 Basics of Nonparametric Tests
    • 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 for Three or More Samples
    • 13-6 Rank Correlation
    • 13-7 Runs Test for Randomness

    14. Statistics Process Control

    • 14-1 Control Charts for Variation and Mean
    • 14-2 Control Charts for Attributes

    15. Holistic Statistics




    APPENDIX D: ANSWERS TO ODD-NUMBERED SECTION EXERCISES (and all Quick Quizzes, all Review Exercises, and all Cumulative Review Exercises)



    Index of Applications


Select an Option below:

More Options: