I'm a student
I'm an educator
Request full copy

Elementary Statistics: Picturing the World, 7th edition

Published by Pearson (January 3, 2018) © 2019

  • Ron Larson Penn State University at Erie
  • Betsy Farber Bucks County Community College

eTextbook

per month

  • Anytime, anywhere learning with the Pearson+ app
  • Easy-to-use search, navigation and notebook
  • Simpler studying with flashcards
from$149.32

  • Hardcover, paperback or looseleaf edition
  • Affordable rental option for select titles
  • Free shipping on looseleafs and traditional textbooks

MyLab

from$99.99

  • Reach every student with personalized support
  • Customize courses with ease
  • Optimize learning with dynamic study tools

For courses in Introductory Statistics (algebra-based).

Describing the world through statistics

Elementary Statistics: Picturing the World makes statistics approachable with stepped-out instruction, extensive real-life examples and exercises, and a design that fits content to each page to make the material more digestible. The text's combination of theory, pedagogy and design helps students understand concepts and use statistics to describe and think about the world. Real-life examples, exercises and projects help students picture the world using statistics. The 7th Edition incorporates a thorough update of key features, examples, exercises and much more.

Hallmark features of this title

  • A variety of review and assessment features conclude each chapter, including a Chapter Summary, Review Exercises, Quiz and Test. Students also have access to 4 Cumulative Reviews throughout the text.
  • Strategic page layout: 
    • Statistics instruction is more accessible when it is carefully formatted on each page with a consistent, open layout.
    • This text is the first college-level statistics book to be written so that when possible, its features are not split from one page to the next, resulting in a cleaner and clearer presentation.
  • The variety of real-life applications are representative of the majors of students taking introductory statistics courses. Applications are both authentic and accessible, so that statistics comes alive and appears relevant to students. View the text's Index of Applications for a complete list.

New and updated features of this title

  • New and revised Exercises: Over 40% of the more than 2,300 exercises are new or revised.
  • New Tech Tips: Technology tips now appear in most sections. These tips show how to use Minitab, Excel, the TI-84 Plus and StatCrunch to solve a problem.
  • New and revised chapter features and examples: About 60% of the chapter features and examples are new or revised to maintain currency and student engagement. These include:
    • Chapter Case Studies: Each chapter has a Case Study featuring actual data from a real-world context and questions that illustrate the important concepts of the chapter.
    • Real Statistics - Real Decisions: Putting It All Together: This feature encourages students to think critically and make informed decisions about real-world data. Exercises guide students from interpretation to drawing of conclusions.
    • Chapter Technology Projects: Each chapter has a Technology project using Minitab, Excel and the TI-84 Plus that gives students insight into how technology is used to handle large data sets or real-life questions.

Features of MyLab Statistics for the 7th Edition

  • An Integrated Review version of the MyLab Statistics course provides pre-made, assignable skill-review quizzes and personalized homework assignments that are integrated throughout the regular statistics course content.
    • It can be used in co-requisite courses, or simply to help students who enter Introductory Statistics without a full understanding of prerequisite skills and concepts.
  • StatCrunch Question Library: This library of questions provides opportunities for students to analyze and interpret data sets in StatCrunch.
    • Instructors can assign individual questions from the library by topic, or they can assign questions from the same data set as a longer assignment that spans multiple learning objectives.

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

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

III. STATISTICAL INFERENCE

  1. Confidence Intervals
    • 6.1 Confidence Intervals for the Mean (S Known)
    • 6.2 Confidence Intervals for the Mean (S 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 (S Known)
    • 7.3 Hypothesis Testing for the Mean (S 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, S1 and S2 Known)
    • 8.2 Testing the Difference Between Means (Independent Samples, S1 and S2 Unknown)
    • 8.3 Testing the Difference Between Means (Dependent Samples)
    • 8.4 Testing the Difference Between Proportions

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 the F-Distribution
    • 10.1 Goodness-of-Fit Test
    • 10.2 Independence
    • 10.3 Comparing Two Variances
    • 10.4 Analysis of Variance
  3. Nonparametric Tests (Web 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 at www.pearson.com/math-stats-resources and in MyLab Statistics.

APPENDICES

  • A. Alternative Presentation of the Standard Normal Distribution
  • B. Tables
  • C. Normal Probability Plots

About our authors

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.

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.

Need help? Get in touch

MyLab

Customize your course to teach your way. MyLab® is a flexible platform merging world-class content with dynamic study tools. It takes a personalized approach designed to ignite each student's unique potential. And, with the freedom it affords to adapt your pedagogy, you can reinforce select concepts and guide students to real results.

Pearson+

All in one place. Pearson+ offers instant access to eTextbooks, videos and study tools in one intuitive interface. Students choose how they learn best with enhanced search, audio and flashcards. The Pearson+ app lets them read where life takes them, no wi-fi needed. Students can access Pearson+ through a subscription or their MyLab or Mastering course.

Video
Play
Privacy and cookies
By watching, you agree Pearson can share your viewership data for marketing and analytics for one year, revocable by deleting your cookies.

Video transcript (PDF | 25KB) 

Empower your students, in class and beyond

Meet students where they are with MyLab®, and capture their attention in every lecture, activity, and assignment using immersive content, customized tools, and interactive learning experiences in your discipline.

Digital Learning NOW

Extend your professional development and meet your students where they are with free weekly Digital Learning NOW webinars. Attend live, watch on-demand, or listen at your leisure to expand your teaching strategies. Earn digital professional development badges for attending a live session.

Explore webinars