Elementary Statistics: Picturing the World, 8th Edition © 2023

Elementary Statistics: Picturing the World, published by Pearson, uses stepped-out instruction, extensive real-life examples and exercises, and design that fits content to each page to make statistics more digestible.

  • Designed to help students understand concepts
  • Actual data illustrates concepts and informs discussions
  • Robust digital content on MyMathLab® for School from Pearson
  • StatCrunch® performs complex analyses
  • Extensive revisions from the previous edition
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Elementary Statistics Program with Digital Resources

Introduce students to the concepts and tools of statistics so they can develop a powerful lens for viewing the world.

Technological Instruction

Technology tips show how to use Minitab, Excel®, the TI-84 Plus, and StatCrunch® to solve the problems they encounter in statistics.

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Real-World Applications

Chapter Technology Projects show how technology is used for large data sets or real-life questions. Chapter Case Studies use actual data and pose questions that illustrate important concepts.

Thinking Statistically

Putting It All Together encourages students to think critically and make informed decisions about data. Exercises guide students from interpretation to drawing conclusions.

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Online Flexibility

MyMathLab® for School from Pearsonallows teachers and students to leverage their available technology in the classroom and at home for blended and all-digital solutions.

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Elementary Statistics Teaching Solutions

  • Guiding Student Learning
  • Examples and Exercises
  • Review and Assessment
  • Statistics in the Real World

  • Visual Descriptions
    Each chapter begins with a two-page visual description of a real-life problem. Where You’ve Been connects the chapters to previously learned topics. Where You’re Going gives students an overview of the chapter.
  • What You Should Learn
    What You Should Learn uses everyday language to organize each section’s learning objectives. The same objectives are then used as subsection titles throughout the section.
  • Definitions and Formulas
    Definitions and Formulas are clearly presented in easy-to-locate boxes. They are often followed by Guidelines, which explain In Words and In Symbols how to apply the formula or understand the definition.
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  • Step-by-Step Examples
    Every concept in the text is clearly illustrated with one or more step-by-step examples. Most examples have an interpretation step that shows the student how the solution may be interpreted within the real-life context of the example.
  • Try It Yourself
    Each example is followed by a similar Try It Yourself exercise so students can immediately practice the skill they learned.
  • Real-Life Settings
    The exercises give students practice in performing calculations, making decisions, proving explanations, and applying results to a real-life setting.
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  • Chapter Summary
    Each chapter concludes with a Chapter Summary that answers the question What Did You Learn? The objectives listed are correlated to Examples in the section as well as to the Review Exercises.
  • Review Exercises
    A set of Review Exercises follows each Chapter Summary. The order of the exercises follows the chapter organization.
  • Chapter Quiz
    Each chapter has a Chapter Quiz. For additional help, see the step-by-step video solutions available in MyLab Statistics.
  • Chapter Test
    Every Chapter Test features questions in random order, with solutions provided in the Annotated Instructor’s Edition.
  • Cumulative Review
    A Cumulative Review follows Chapters 2, 5, 8, and 10. The exercises may incorporate multiple ideas from the preceding chapters.
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  • Statistical Techniques
    Every chapter discusses how statistical techniques should be used, while cautioning students about common abuses. The discussion includes ethics where appropriate, and exercises help students apply their knowledge.
  • Applet Activities
    Selected sections contain applet activities encouraging interactive investigations of concepts in the lesson with exercises that ask students to draw conclusions.
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More About Elementary Statistics: Picturing the World

  • Ron Larson Author Bio
    Ron Larson received his Ph.D. in mathematics from the University of Colorado in 1970. At that time he accepted a position with Penn State University, and he currently holds the rank of professor of mathematics at the university. Larson is the lead author of more than two dozen mathematics textbooks that range from 6th grade through calculus levels. Many of his texts, such as the 10th Edition of his calculus text, are leaders in their markets. Larson is also one of the pioneers in the use of multimedia and the Internet to enhance the learning of mathematics. He has authored multimedia programs, extending from the elementary school through calculus levels. Larson is a member of several professional groups and is a frequent speaker at national and regional mathematics meetings.
  • Betsy Farber Author Bio
    Many thanks to Betsy Farber  for her significant contributions to previous editions of the text. Sadly, Betsy passed away in 2013. She received her Bachelor's degree in mathematics from Penn State University and her Master's degree in mathematics from the College of New Jersey. Betsy taught all levels of mathematics at Bucks County Community College in Newtown, Pennsylvania for many years. She made many notable contributions throughout her career to developing new ways to make statistics relevant and interesting for both online and traditional students.
  • Table of Contents

    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

    1. 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

    2. Discrete Probability Distributions

      • 4.1 Probability Distributions

      • 4.2 Binomial Distributions

      • 4.3 More Discrete Probability Distributions

    3. 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

    1. 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

    2. 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

    3. 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

    1. Correlation and Regression

      • 9.1 Correlation

      • 9.2 Linear Regression

      • 9.3 Measures of Regression and Prediction Intervals

      • 9.4 Multiple Regression

    2. Chi-Square Tests and theF-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

    3. 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 MyMathLab for School.

    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

    Appendix C: Normal Probability Plots

    Appendix D: Key Formulas

    Answers to the Try It Yourself Exercises

    Answers to the Odd-Numbered Exercises

    Index

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