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Elementary Statistics, 14th edition

Published by Pearson (February 19, 2021) © 2022

  • Mario F. Triola Dutchess Community College

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For courses in Introductory Statistics.

Real data brings statistics to life

From cybersecurity to drones and more, statistics shapes the world around us. Elementary Statistics offers current applications and abundant new real data to help students of all majors understand the role of statistics in our lives. The 14th Edition's updates keep the text more relevant and supportive than ever; a wealth of new data sets, exercises and examples along with larger data sets, content updates and new videos support students.

Elementary Statistics is part of a series that includes an Essentials version along with Elementary Statistics Using the TI-83/84 Plus Calculator and Elementary Statistics Using Excel®.

Hallmark features of this title

  • Readability is paramount. Great care is taken to ensure students of any major can find the text readable and applicable.
  • Chapter Objectives summarize key learning goals for each section in the chapter.
  • Your Turn in many examples directs students to an applicable exercise so that they can immediately practice what they've just learned in an example.
  • Flowcharts throughout help simplify and clarify more complex concepts and procedures visually.
  • End-of-chapter features reinforce skills and ask students to think critically. Chapter Quick Quiz, Review Exercises and Cumulative Review provide practice. Collaborative Group Activities foster active learning, and From Data to Decision is a capstone chapter problem that requires critical thinking and writing.

New and updated features of this title

  • Updated real data: The vast majority of exercises, examples and Chapter Problems are based on real data for maximum relevance. 93% of the exercises use real data and 64% of exercises are new, keeping the problems current.
  • Expanded data sets in Appendix B have increased from 32 to 46 total, with 20 new to the 14th Edition, including Internet Traffic, Disney World Wait Times, Car Data, Commute Times, Candies, and Taxi Data.
  • Larger data sets include sets with 6068, 3982, 5755, 8959, and 1000 cases, as well as big data sets with 465,506 cases and 31,784 cases. Working with such larger data sets is essential to students progressing into the age of big data and data science.
  • New Big (or Very Large) Data Projects appear near the end of each chapter.
  • All new Chapter Problems open each chapter, using real data to motivate students about concepts; they are revisited within the chapter. New Chapter Problem icons mark examples that relate to the Chapter Problem, showing how different concepts and procedures can be applied to the real-world issue in the material.
  • Revised Margin Essays: 134 margin essays highlight real-world topics and foster student interest; 36 are new to this edition. Also, many Go Figure items briefly describe interesting numbers or statistics.

Highlights of the DIGITAL UPDATE for MyLab Statistics (available for Fall 2025 classes)

Instructors, contact your sales rep to ensure you have the most recent version of the course.

  • Pause-and-predict Videos: Author Marty Triola has recorded section lecture videos with pause-and-predict functionality, designed to encourage student engagement. After introduction and explanation of concepts, each video concludes with an interactive quiz and review.
  • Dynamic Study Modules use cognitive science to help students study chapter topics through quick practice and personalized remediation. Students can build confidence and deepen their understanding of key topics.
  • MediaShare: The Technology Projects that conclude each chapter are now available in MyLab MediaShare. This platform is conducive to group or individual project work, allowing students to submit their insights in written, audio, or video format. It is designed to align with multiple learning styles, and to prepare students for presenting their findings in a professional setting.

Features of MyLab Statistics for the 14th Edition; published 2021

  • Expanded MyLab exercise coverage gives students even more opportunities to practice and receive immediate feedback as they work.
  • Integrated Review embeds prerequisite review, which can be used for just-in-time remediation or for corequisite course models. Pre-made Skills Check quizzes assess prerequisite skills needed to be successful in the Statistics content; they also identify gaps for each student, which can be addressed with instructional videos and worksheets.
  • Updated video program: New Animated Flow Charts use visuals to explain difficult concepts. Tech-specific Video Tutorials address how to use varying technologies to complete exercises. Updated Chapter Review Exercise Videos cover the Review Exercises to reinforce key chapter concepts; they are updated to match any new Review Exercises in the text. New StatCrunch® Video Tutorials are provided.

Highlights of the DIGITAL UPDATE for Pearson+ eTextbook (available for Fall 2025 classes)

Instructors, contact your sales rep to ensure you have the most recent version.

  • New embedded Section Lecture Videos are added into an entirely new eText.

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

APPENDICES

  • A. Tables
  • B. Data Sets
  • C. Websites and Bibliography of Books
  • D. Answers to Odd-Numbered Section Exercises (and all Quick Quizzes, Review Exercises, and Cumulative Review Exercises)

Credits

Index

Index of Applications

About our author

Mario F. Triola  is a Professor Emeritus of Mathematics at  Dutchess  Community College, where he has taught  statistics for over 30 years. Marty  also  is the author of Elementary Statistics, 14th  Edition,  Elementary Statistics Using Excel, 7th  Edition,  and  Elementary Statistics Using the TI-83/84 Plus Calculator, 5th  Edition. He is a  coauthor of  Biostatistics for the Biological and Health Sciences, 2nd  Edition,  Statistical Reasoning for Everyday Life, 5th  Edition, and Business Statistics.  Essentials of Statistics  is currently available as a Global 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 and fishing rods. 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,  analyzing survey results for the New York City Transit Authority, and analyzing  COVID-19 virus data for government officials. Marty has testified as an expert witness  in the New York State Supreme Court. The Text and Academic Authors Association  has awarded Marty a "Texty" for Excellence for his work on Elementary Statistics; as  of this writing,  it  has been the #1 statistics book in  the United States for the past 25 years. 

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