Skip to content
FlatWorld will be down for scheduled maintenance this Friday, Jan 31st 2020 from 10:00 PM to 10:30 PM EST.
New Version Available
Cover
Published: 
August 2012
Page Count: 
390
ISBN: 
978-1-4533-4486-6

Introductory Statistics

Version 1.0 By: Douglas S. Shafer and Zhiyi Zhang
Homework system included

This book is available with FlatWorld's Homework System at no additional cost to your students. Learn more

Key Features:

  • Concise, streamlined approach.
  • Wide range of exercises for each concept to drive comprehension.
  • Large data sets available online.
  • Customizable.

Educators

Request a Digital Copy Review the text Adopt Customize this Book

Students

Online eBook Price:  $34.95 Full Color Book + Online eBook Price:  $54.95
Buy This Book Redeem My Code

This textbook is suitable for the following courses: Introductory Statistics (one semester).

Introductory Statistics provides a concise, coherent explanation of introductory statistics topics that caters to the needs of general education students in standard one-semester introductory courses. Introductory Statistics ensures student comprehension by focusing on important core concepts and using a variety of exercises and examples to illustrate topics covered. As a result, Introductory Statistics provides a low-cost, high-quality alternative to existing options on the market.

  • About the Authors
  • Acknowledgements
  • Dedication
  • Preface

    • Chapter 1: Introduction

  • 1.1 Basic Definitions and Concepts
  • 1.2 Overview
  • 1.3 Presentation of Data

    • Chapter 2: Descriptive Statistics

  • 2.1 Three Popular Data Displays
  • 2.2 Measures of Central Location
  • 2.3 Measures of Variability
  • 2.4 Relative Position of Data
  • 2.5 The Empirical Rule and Chebyshev’s Theorem

    • Chapter 3: Basic Concepts of Probability

  • 3.1 Sample Spaces, Events, and Their Probabilities
  • 3.2 Complements, Intersections, and Unions
  • 3.3 Conditional Probability and Independent Events

    • Chapter 4: Discrete Random Variables

  • 4.1 Random Variables
  • 4.2 Probability Distributions for Discrete Random Variables
  • 4.3 The Binomial Distribution

    • Chapter 5: Continuous Random Variables

  • 5.1 Continuous Random Variables
  • 5.2 The Standard Normal Distribution
  • 5.3 Probability Computations for General Normal Random Variables
  • 5.4 Areas of Tails of Distributions

    • Chapter 6: Sampling Distributions

  • 6.1 The Mean and Standard Deviation of the Sample Mean
  • 6.2 The Sampling Distribution of the Sample Mean
  • 6.3 The Sample Proportion

    • Chapter 7: Estimation

  • 7.1 Large Sample Estimation of a Population Mean
  • 7.2 Small Sample Estimation of a Population Mean
  • 7.3 Large Sample Estimation of a Population Proportion
  • 7.4 Sample Size Considerations

    • Chapter 8: Testing Hypotheses

  • 8.1 The Elements of Hypothesis Testing
  • 8.2 Large Sample Tests for a Population Mean
  • 8.3 The Observed Significance of a Test
  • 8.4 Small Sample Tests for a Population Mean
  • 8.5 Large Sample Tests for a Population Proportion

    • Chapter 9: Two-Sample Problems

  • 9.1 Comparison of Two Population Means: Large, Independent Samples
  • 9.2 Comparison of Two Population Means: Small, Independent Samples
  • 9.3 Comparison of Two Population Means: Paired Samples
  • 9.4 Comparison of Two Population Proportions
  • 9.5 Sample Size Considerations

    • Chapter 10: Correlation and Regression

  • 10.1 Linear Relationships Between Variables
  • 10.2 The Linear Correlation Coefficient
  • 10.3 Modelling Linear Relationships with Randomness Present
  • 10.4 The Least Squares Regression Line
  • 10.5 Statistical Inferences About β1
  • 10.6 The Coefficient of Determination
  • 10.7 Estimation and Prediction
  • 10.8 A Complete Example
  • 10.9 Formula List

    • Chapter 11: Chi-Square Tests and F-Tests

  • 11.1 Chi-Square Tests for Independence
  • 11.2 Chi-Square One-Sample Goodness-of-Fit Tests
  • 11.3 F-tests for Equality of Two Variances
  • 11.4 F-Tests in One-Way ANOVA

    • Appendix A: Appendix

    At FlatWorld, we take pride in providing a range of high-quality supplements alongside our titles, to help instructors teach effectively. Supplements are available for instructors who have registered their adoption with us. If you need to review or preview something specific, please contact us.


    Register for Flatworld

    Already registered? Sign in here


    FlatWorld Homework System NEW! Homework system included

    This book is now available with FlatWorld’s Homework System at no additional cost to your students.

    With the new, easy-to-use Homework System, you will be able to assign questions and autograde homework. The system includes multi-format questions written specifically for your FlatWorld book, which you can access through our stand-alone interface or integrate with your learning management system (e.g. Canvas, Moodle, Brightspace/D2L, and Blackboard).

    Visit the FlatWorld Homework page to learn more.

    To schedule a demo for help in setting up FlatWorld Homework for your course, contact your Sales Rep or FlatWorld support.

    Instructor Manual

    Instructor Manual

    The Instructor Manual guides you through the main concepts of each chapter and important elements such as learning objectives, key terms, and key takeaways. Can include answers to chapter exercises, group activity suggestions, and discussion questions.

    Instructor Manual

    PowerPoint Lecture Notes

    PowerPoint Lecture Notes

    A PowerPoint presentation highlighting key learning objectives and the main concepts for each chapter are available for you to use in your classroom. You can either cut and paste sections or use the presentation as a whole.

    PowerPoint Lecture Notes

    Test Generator - powered by Cognero

    Test Generator - powered by Cognero

    FlatWorld has partnered with Cognero, a leading online assessment system, that allows you to create printable tests from FlatWorld provided content.

    Test Bank Files for Import to Learning Management Systems

    Test Bank Files for Import to Learning Management Systems

    For your convenience, we've packaged our test items for easy import into Learning Management Systems like Blackboard, Brightspace/D2L, Canvas, Moodle, or Respondus.

    Solutions Manual

    Solutions Manual

    For exercises that need a little more explanation, our Solutions Manual will take you step by step through solving the problem and offer explanations on the answer.

    Test Item File

    Test Item File

    Need assistance in supplementing your quizzes and tests? Our test-item files (in Word format) contain many multiple-choice, fill-in-the-blank, and short-answer questions.

    Douglas S. Shafer

    Douglas Shafer is Professor of Mathematics at the University of North Carolina at Charlotte. In addition to his position in Charlotte, he has held visiting positions at the University of Missouri at Columbia and Montana State University and a Senior Fulbright Fellowship in Belgium. He teaches a range of mathematics courses as well as introductory statistics. In addition to journal articles and this statistics textbook, he has co-authored a graduate-level textbook in his research specialty with V.G. Romanovski (Maribor, Slovenia). He earned a Ph.D. in mathematics at the University of North Carolina at Chapel Hill.
    Zhiyi zhang

    Zhiyi Zhang

    Zhiyi Zhang is Professor of Mathematics at the University of North Carolina at Charlotte. In addition to his teaching and research duties at the university, he consults actively to industries and governments on a wide range of statistical issues. His research activities in statistics have been supported by the National Science Foundation, the U.S. Environmental Protection Agency, the Office of Naval Research, and the National Institute of Health. He earned a Ph.D. in statistics at Rutgers University in New Jersey.
    Back to top