Elementary Statistics: Picturing the World, 8th Edition © 2023
Elementary Statistics: Picturing the World, published by Pearson, uses steppedout instruction, extensive reallife 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
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 TI84 Plus, and StatCrunch® to solve the problems they encounter in statistics.
RealWorld Applications
Chapter Technology Projects show how technology is used for large data sets or reallife 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.
Online Flexibility
MyMathLab® for School from Pearsonallows teachers and students to leverage their available technology in the classroom and at home for blended and alldigital solutions.
Elementary Statistics Teaching Solutions

Guiding Student Learning

Examples and Exercises

Review and Assessment

Statistics in the Real World

Visual DescriptionsEach chapter begins with a twopage visual description of a reallife 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 LearnWhat 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 FormulasDefinitions and Formulas are clearly presented in easytolocate boxes. They are often followed by Guidelines, which explain In Words and In Symbols how to apply the formula or understand the definition.

StepbyStep ExamplesEvery concept in the text is clearly illustrated with one or more stepbystep examples. Most examples have an interpretation step that shows the student how the solution may be interpreted within the reallife context of the example.

Try It YourselfEach example is followed by a similar Try It Yourself exercise so students can immediately practice the skill they learned.

RealLife SettingsThe exercises give students practice in performing calculations, making decisions, proving explanations, and applying results to a reallife setting.

Chapter SummaryEach 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 ExercisesA set of Review Exercises follows each Chapter Summary. The order of the exercises follows the chapter organization.

Chapter QuizEach chapter has a Chapter Quiz. For additional help, see the stepbystep video solutions available in MyLab Statistics.

Chapter TestEvery Chapter Test features questions in random order, with solutions provided in the Annotated Instructor’s Edition.

Cumulative ReviewA Cumulative Review follows Chapters 2, 5, 8, and 10. The exercises may incorporate multiple ideas from the preceding chapters.

Statistical TechniquesEvery 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 ActivitiesSelected 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 BioRon 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 BioMany 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

Introduction to Statistics

1.1 An Overview of Statistics

1.2 Data Classification

1.3 Data Collection and Experimental Design


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

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


Discrete Probability Distributions

4.1 Probability Distributions

4.2 Binomial Distributions

4.3 More Discrete Probability Distributions


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 35

III. STATISTICAL INFERENCE

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


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


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 68

IV. MORE STATISTICAL INFERENCE

Correlation and Regression

9.1 Correlation

9.2 Linear Regression

9.3 Measures of Regression and Prediction Intervals

9.4 Multiple Regression


ChiSquare Tests and theFDistribution

10.1 GoodnessofFit Test

10.2 Independence

10.3 Comparing Two Variances

10.4 Analysis of Variance

Cumulative Review: Chapters 9 & 10


Nonparametric Tests (Online Only)*

11.1 The Sign Test

11.2 The Wilcoxon Tests

11.3 The KruskalWallis 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 tDistribution

Table 6 ChiSquare Distribution

Table 7 FDistribution

Table 8 Critical Values for the Sign Test

Table 9 Critical Values for the Wilcoxon SignedRank 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 OddNumbered Exercises
Index

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