Nelson Higher Education

Higher Education

Introduction to Statistics and Data Analysis, 5th Edition

  • Roxy Peck
  • Chris Olsen
  • Jay L. Devore
  • ISBN-10: 1305115341
  • ISBN-13: 9781305115347
  • 844 Pages | Hardcover
  • Previous Editions: 2012, 2008, 2005
  • COPYRIGHT: 2016 Published
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Overview

About the Product

Roxy Peck, Chris Olsen, and Jay Devore's new edition uses real data and attention-grabbing examples to introduce students to the study of statistics and data analysis. Traditional in structure yet modern in approach, this text guides students through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including frequent substitution of words for symbols--helps students grasp concepts and cement their comprehension. Hands-on activities and interactive applets allow students to practice statistics firsthand. INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 5e includes updated coverage of most major technologies, as well as expanded coverage of probability.

Features

  • Real data gives students authentic scenarios that help them understand statistical concepts in relevant, interesting contexts.

  • A chapter on Nonparametric Methods is available online, giving you the option of covering this topic if you wish.

  • "Interpreting and Communicating the Results of Statistical Analysis" sections, which emphasize the importance of being able to interpret statistical output and communicate its meaning to non-statisticians, have assignable end-of-section questions associated with them.

  • The book emphasizes graphical display as a necessary component of data analysis and provides broad coverage of sampling, survey design, experimental design and transformations, and nonlinear regression.

Reviews

“This is a great mathematical statistics textbook”
— Kendra Mhoon, University of Houston Downtown

About the Author

Roxy Peck

Roxy Peck is Associate Dean Emerita of the College of Science and Mathematics, and Professor of Statistics Emerita at California Polytechnic State University, San Luis Obispo. A faculty member at Cal Poly from 1979 until 2009, Roxy served for six years as Chair of the Statistics Department before becoming Associate Dean, a position she held for 13 years. She received an M.S. in Mathematics and a Ph.D. in Applied Statistics from the University of California, Riverside. Roxy is nationally known in the area of statistics education, and she was presented with the Lifetime Achievement Award in Statistics Education at the U.S. Conference on Teaching Statistics in 2009. In 2003, she received the American Statistical Association’s Founder’s Award, recognizing her contributions to K–12 and undergraduate statistics education. She is a Fellow of the American Statistical Association and an elected member of the International Statistics Institute. Roxy served for five years as the Chief Reader for the Advanced Placement (AP) Statistics Exam and has chaired the American Statistical Association’s Joint Committee with the National Council of Teachers of Mathematics on Curriculum in Statistics and Probability for Grades K–12 and the Section on Statistics Education. In addition to her texts in introductory statistics, Roxy is also co-editor of “Statistical Case Studies: A Collaboration Between Academe and Industry” and a member of the editorial board for “Statistics: A Guide to the Unknown, 4th Edition.” Outside the classroom, Roxy likes to travel and spends her spare time reading mystery novels. She also collects Navajo rugs and heads to Arizona and New Mexico whenever she can find the time.

Chris Olsen

Chris Olsen taught statistics at George Washington High School in Cedar Rapids, Iowa, for over 25 years and currently teaches at Grinnell College. Chris is a past member (twice) of the AP Statistics Test Development Committee and has been a table leader at the AP Statistics reading for 14 years. He is a long-time consultant to the College Board and has led workshops and institutes for AP Statistics teachers in the United States and internationally. Chris was the Iowa recipient of the Presidential Award for Excellence in Science and Mathematics Teaching in 1986, a regional awardee of the IBM Computer Teacher of the Year in 1988, and received the Siemens Award for Advanced Placement in Mathematics in 1999. Chris is a frequent contributor to and is moderator of the AP Teacher Community online. He is currently a member of the editorial board of “Teaching Statistics.” Chris graduated from Iowa State University with a major in mathematics and philosophy, and while acquiring graduate degrees at the University of Iowa, he concentrated on statistics, computer programming, and psychometrics. In his spare time he enjoys reading and hiking. He and his wife have a daughter, Anna, a Caltech graduate in Civil Engineering.

Jay L. Devore

Jay Devore is Professor Emeritus of Statistics at California Polytechnic State University. He earned his undergraduate degree in Engineering Science from the University of California at Berkeley, spent a year at the University of Sheffield in England, and finished his Ph.D. in statistics at Stanford University. Jay previously taught at the University of Florida and at Oberlin College and has had visiting appointments at Stanford, Harvard, the University of Washington, New York University, and Columbia University. From 1998 to 2006, he served as Chair of the Cal Poly Statistics Department. In addition to this book, Jay has written several other widely used statistics texts for engineers and scientists and a book in applied mathematical statistics. He recently coauthored a text in probability and stochastic processes. He is the recipient of a distinguished teaching award from Cal Poly, is a Fellow of the American Statistical Association, and has served several terms as an Associate Editor of the “Journal of the American Statistical Association.” In his spare time, he enjoys reading, cooking and eating good food, tennis, and travel to faraway places. He is especially proud of his wife, Carol, a retired elementary school teacher, his daughter Allison, who has held several high-level positions in nonprofit organizations in Boston and New York City, and his daughter Teresa, a high school teacher in Brooklyn.

Table of Contents

1. THE ROLE OF STATISTICS AND THE DATA ANALYSIS PROCESS: Why Study Statistics? The Nature and Role of Variability. Statistics and the Data Analysis Process. Types of Data and Some Simple Graphical Displays.
2. COLLECTING DATA SENSIBLY: Statistical Studies: Observation and Experimentation. Sampling. Simple Comparative Experiments. More on Experimental Design. Interpreting and Communicating the Results of Statistical Analyses. More on Observational Studies: Designing Surveys (online).
3. GRAPHICAL METHODS FOR DESCRIBING DATA: Displaying Categorical Data: Comparative Bar Charts and Pie Charts. Displaying Numerical Data: Stem-and-Leaf Displays. Displaying Numerical Data: Frequency Distributions and Histograms. Displaying Bivariate Numerical Data. Interpreting and Communicating the Results of Statistical Analyses.
4. NUMERICAL METHODS FOR DESCRIBING DATA: Describing the Center of a Data Set. Describing Variability in a Data Set. Summarizing a Data Set: Boxplots. Interpreting Center and Variability: Chebyshev’s Rule, the Empirical Rule, and z Scores. Interpreting and Communicating the Results of Statistical Analyses.
5. SUMMARIZING BIVARIATE DATA: Correlation. Linear Regression: Fitting a Line to Bivariate Data. Assessing the Fit of a Line. Nonlinear Relationships and Transformations. Interpreting and Communicating the Results of Statistical Analyses. Logistic Regression (online).
6. PROBABILITY: Chance Experiments and Events. Definition of Probability. Basic Properties of Probability. Conditional Probability. Independence. Some General Probability Rules. Estimating Probabilities Empirically Using Simulation.
7. RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS: Random Variables. Probability Distributions for Discrete Random Variables. Probability Distributions for Continuous Random Variables. Mean and Standard Deviation of a Random Variable. Binomial and Geometric Distributions. Normal Distributions. Checking for Normality and Normalizing Transformations. Using the Normal Distribution to Approximate a Discrete Distribution.
8. SAMPLING VARIABILITY AND SAMPLING DISTRIBUTIONS: Statistics and Sampling Variability. The Sampling Distribution of a Sample Mean. The Sampling Distribution of a Sample Proportion.
9. Estimation Using a Single Sample: Point Estimation. Large-Sample Confidence Interval for a Population Proportion. Confidence Interval for a Population Mean. Interpreting and Communicating the Results of Statistical Analyses.
10. HYPOTHESIS TESTING USING A SINGLE SAMPLE: Hypotheses and Test Procedures. Errors in Hypothesis Testing. Large-Sample Hypothesis Tests for a Population Proportion. Hypothesis Tests for a Population Mean. Power and Probability of Type II Error. Interpreting and Communicating the Results of Statistical Analyses.
11. COMPARING TWO POPULATIONS OR TREATMENTS: Inferences Concerning the Difference Between Two Population or Treatment Means Using Independent Samples. Inferences Concerning the Difference Between Two Population or Treatment Means Using Paired Samples. Large-Sample Inferences Concerning the Difference Between Two Population or Treatment Proportions. Interpreting and Communicating the Results of Statistical Analyses.
12. THE ANALYSIS OF CATEGORICAL DATA AND GOODNESS-OF-FIT TESTS: Chi-Square Tests for Univariate Data. Tests for Homogeneity and Independence in a Two-way Table. Interpreting and Communicating the Results of Statistical Analyses.
13. SIMPLE LINEAR REGRESSION AND CORRELATION: INFERENTIAL METHODS: Simple Linear Regression Model. Inferences about the Slope of the Population Regression Line. Checking Model Adequacy. Inferences Based on the Estimated Regression Line (online). Inferences About the Population Correlation Coefficient (online). Interpreting and Communicating the Results of Statistical Analyses (online).
14. MULTIPLE REGRESSION ANALYSIS: Multiple Regression Models. Fitting a Model and Assessing Its Utility. Inferences Based on an Estimated Model (online). Other Issues in Multiple Regression (online). Interpreting and Communicating the Results of Statistical Analyses (online).
15. ANALYSIS OF VARIANCE: Single-Factor ANOVA and the F Test. Multiple Comparisons. The F Test for a Randomized Block Experiment (online). Two-Factor ANOVA (online). Interpreting and Communicating the Results of Statistical Analyses (online).
16. NONPARAMETRIC (DISTRIBUTION-FREE) STATISTICAL METHODS (ONLINE): Distribution-Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Independent Samples (Optional). Distribution Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Paired Samples. Distribution-Free ANOVA.

New to this edition

  • JMP statistical software is now packaged with new copies of the text.
  • Now, for instructors who prefer a briefer and more informal treatment of probability, two chapters previously from the book Statistics: The Exploration and Analysis of Data by Roxy Peck and Jay Devore are available as a custom option. Please contact your Cengage learning consultant for more information about this alternative and other alternative customized options available to you. (See the information listed below under the heading “Alternate TOC” for specific coverage in the two chapters.)
  • Chapter-ending Technology Notes on JMP, Minitab, SPSS, Microsoft Excel 2007, TI-83/84, and TI-nspire provide helpful hints and guidance on completing tasks associated with a particular chapter, as well as display screens to help students visualize and better understand the steps. More complete technology manuals are available on the text website.
  • A more informal writing style accommodates a broader range of student reading levels.
  • Helpful hints in exercises that direct students to relevant examples in the text help students who may be having trouble getting started.

Supplements

All supplements have been updated in coordination with the Main title.
Please see Main title page for new to this edition information.

Instructor Supplements

Online Complete Solutions Manual  (ISBN-10: 1305265815 | ISBN-13: 9781305265813)

Available on the Instructor Companion Site, this manual contains solutions to all exercises from the text, including Chapter Review Exercises and Chapter Tests.

Teacher's Companion Web Site Guide  (ISBN-10: 1305268911 | ISBN-13: 9781305268913)

Everything you need for your course in one place! This collection of book-specific lecture and class tools is available online via www.cengage.com/login. Access and download PowerPoint presentations, images, instructor’s manual, and more.

Cengage Testing, powered by Cognero® Instant Access  (ISBN-10: 1305265890 | ISBN-13: 9781305265899)

Cengage Learning Testing Powered by Cognero is a flexible, online system that allows you to author, edit, and manage test bank content, create multiple test versions in an instant, and deliver tests from your LMS, your classroom or wherever you want. This is available online via your SSO account at login.cengage.com.

WebAssign, Single-Term Instant Access  (ISBN-10: 1285858042 | ISBN-13: 9781285858043)

IMPORTANT: When purchasing this instant access code for Statistics, ensure that you are using it in one of the following courses: General Intro Statistics or Statistics for Engineers. Use with a different course may cause complications with access. Exclusively from Cengage Learning, WebAssign combines exceptional mathematics content with the most powerful online homework solution, WebAssign. WebAssign engages students with immediate feedback, rich tutorial content, and an interactive, fully customizable eBook, Cengage YouBook helping students to develop a deeper conceptual understanding of their subject matter. This access code includes access to WebAssign and life-of-edition access to the eBook for the registered edition of that text. If your students need to retake the course and you are using the same book AND edition then they will not need to buy a new code. This instant access code will be delivered via email when purchased. If you are not certain this is the correct access code for your course, please contact your Cengage Learning Consultant.

MindTap Statistics, 1 term (6 months) Instant Access for Peck/Olsen/Devore's Introduction to Statistics and Data Analysis, Enhanced Edition  (ISBN-10: 1305963989 | ISBN-13: 9781305963986)

MindTap Statistics for Peck/Olsen/Devore’s INTRODUCTION TO STATISTICS AND DATA ANALYSIS, Enhanced Edition, 5th Edition is the digital learning solution that helps instructors engage and transform today's students into critical thinkers. Developed and designed in response to years of research, MindTap builds upon the foundation of superior content from Peck/Olsen/Devore’s INTRODUCTION TO STATISTICS AND DATA ANALYSIS, leveraging modern technology and a powerful answer evaluation system to address the unmet needs of students and educators. Easy to use, efficient and informative, MindTap provides instructors with the ability to personalize their course with dynamic online learning tools, videos and assessments, a student diagnostic pre-test and personalized improvement plan to help students improve their foundational skills outside of class time and just-in-time, integrated remediation assets that keep students focused, motivated and engaged in learning the math.

Enhanced WebAssign® International Instant Access Code Homework with e-Book  (ISBN-10: 133729697X | ISBN-13: 9781337296977)

Exclusively from Cengage Learning, Enhanced WebAssign® combines the exceptional mathematics content in this text with the most powerful online homework solution, WebAssign. Enhanced WebAssign engages students with immediate feedback, rich tutorial content, and an interactive eBook, helping students to develop a deeper conceptual understanding of their subject matter. Online assignments can be built by selecting from thousands of text-specific problems, supplemented if you wish with problems from any Cengage Learning textbook.

Enhanced WebAssign® International Printed Access Card Homework with e-Book  (ISBN-10: 1337296961 | ISBN-13: 9781337296960)

Exclusively from Cengage Learning, Enhanced WebAssign® combines the exceptional mathematics content in this text with the most powerful online homework solution, WebAssign. Enhanced WebAssign engages students with immediate feedback, rich tutorial content, and an interactive eBook, helping students to develop a deeper conceptual understanding of their subject matter. Online assignments can be built by selecting from thousands of text-specific problems, supplemented if you wish with problems from any Cengage Learning textbook.

Student Supplements

Cengage Testing, powered by Cognero® Instant Access  (ISBN-10: 1305265890 | ISBN-13: 9781305265899)
Student Solutions Manual for Peck/Olsen/Devore’s An Introduction to Statistics and Data Analysis, 5th  (ISBN-10: 1305265823 | ISBN-13: 9781305265820)

Containing fully worked-out solutions to all of the odd-numbered exercises in the text, this manual gives you a way to check your answers and ensure that you have taken the correct steps to arrive at an answer.

WebAssign, Single-Term Instant Access  (ISBN-10: 1285858042 | ISBN-13: 9781285858043)

IMPORTANT: When purchasing this instant access code for Statistics, ensure that you are using it in one of the following courses: General Intro Statistics or Statistics for Engineers. Use with a different course may cause complications with access. Exclusively from Cengage Learning, WebAssign combines exceptional mathematics content with the most powerful online homework solution, WebAssign. WebAssign engages students with immediate feedback, rich tutorial content, and an interactive, fully customizable eBook, Cengage YouBook helping students to develop a deeper conceptual understanding of their subject matter. This access code includes access to WebAssign and life-of-edition access to the eBook for the registered edition of that text. If you need to retake the course and your instructor is using the same book AND edition then you will not need to buy a new code. This instant access code will be delivered via email when purchased. If you are not certain this is the correct access code for your course, please contact your instructor.

MindTap Statistics, 1 term (6 months) Instant Access for Peck/Olsen/Devore's Introduction to Statistics and Data Analysis, Enhanced Edition  (ISBN-10: 1305963989 | ISBN-13: 9781305963986)

It’s 1 AM, there are 20 tabs open on your computer, you lost your notes for the test, and you’re so tired you can’t even read. It’d be nice if someone came up with a more efficient way of studying. Luckily, someone did. Unlike other programs, MindTap is a unique course experience that gives you everything, all in one place, at your fingertips. With a single login for MindTap Statistics for Peck/Olsen/Devore, INTRODUCTION TO STATISTICS AND DATA ANALYSIS, Enhanced Edition, 5th Edition you can connect with your instructor, organize coursework, and have access to a range of study tools, including topic-specific lecture videos, e-book and apps. With this course, you will always know where you stand via the Progress App that tracks your performance. MindTap is available for purchase with or without a print textbook. Access to the course always includes access to the eBook.

Enhanced WebAssign® International Instant Access Code Homework with e-Book  (ISBN-10: 133729697X | ISBN-13: 9781337296977)

Enhanced WebAssign® engages you with immediate feedback, rich tutorial content, and an interactive eBook, helping you to develop a deeper conceptual understanding of your subject matter.

Enhanced WebAssign® International Printed Access Card Homework with e-Book  (ISBN-10: 1337296961 | ISBN-13: 9781337296960)

Enhanced WebAssign® engages you with immediate feedback, rich tutorial content, and an interactive eBook, helping you to develop a deeper conceptual understanding of your subject matter.

WebAssign, Single-Term Instant Access  (ISBN-10: 1337769835 | ISBN-13: 9781337769839)

WebAssign for Introduction to Statistics and Data Analysis helps you prepare for class with confidence. Its online learning platform for your math, statistics and science courses helps you practice and absorb what you learn. Videos and tutorials walk you through concepts when you're stuck, and instant feedback and grading let you know where you stand--so you can focus your study time and perform better on in-class assignments. Study smarter with WebAssign!