Nelson Higher Education

Higher Education

Introduction to Statistics and Data Analysis, Enhanced Review Edition, 3rd Edition

  • includes CengageNOW Printed Access Card
  • Roxy Peck
  • Chris Olsen
  • Jay L. Devore
  • ISBN-10: 0495557838
  • ISBN-13: 9780495557838
  • 880 Pages | Hardcover
  • Previous Editions: 2008, 2005, 2005
  • COPYRIGHT: 2009 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. The Third Edition includes coverage of the graphing calculator and includes expanded coverage of probability. 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. It helps students grasp concepts and cement their comprehension by using simple notation-frequently substituting words for symbols. Hands-on activities and interactive applets allow students to practice statistics firsthand. This Enhanced Edition includes new Teaching Tips for each chapter in the book, specific references to other available instructor resources, and suggestions for effectively teaching an Advanced Placement Introduction to Statistics course. Also, Enhanced WebAssign now complements a robust supplement package.

Features

  • Annotated Instructors Edition – designed specifically to aid you in teaching the course.

  • "Communicating and Interpreting the Results of Statistical Analysis" sections emphasize the importance of being able to interpret statistical output and communicate its meaning to non-statisticians.

  • Nearly 100 new examples and hundreds of new or updated exercises with current data from journals, newspapers, and other published sources have been added to this edition, helping students understand statistical concepts in a realistic, relevant context. There are now over 1,100 exercises in the third edition.

  • Eight new activities bring the total to 33. Found at the ends of chapters, these hands-on activities allow students to see statistics unfold before their eyes as they conduct their own experiments.

  • New optional material on logistic regression in Chapter 5, "Summarizing Bivariate Data," assures complete coverage of this important topic.

  • This text continues to feature broad coverage of sampling, survey design and experimental design coverage of transformations and nonlinear regression; and an emphasis on graphical display as a necessary component of data analysis.

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.
Three Reasons to Study Statistics. The Nature and Role of Variability. Statistics and the Data Analysis Process. Types of Data and Some Simple Graphical Displays. Activity 1.1: Head Sizes: Understanding Variability. Activity 1.2: Estimating Sizes. Activity 1.3: A Meaningful Paragraph.
2. COLLECTING DATA SENSIBLY.
Statistical Studies: Observation and Experimentation. Sampling. Simple Comparative Experiments. More on Experimental Design. More on Observational Studies: Designing Surveys (optional). Communicating and Interpreting the Results of Statistical Analyses. Activity 2.1: Designing a Sampling Plan. Activity 2.2: An Experiment to Test for the Stroop Effect. Activity 2.3: McDonalds and the Next 100 Billion Burgers. Activity 2.4: Video Games and Pain Management. Graphing Calculator Explorations.
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. Communicating and Interpreting the Results of Statistical Analyses. Activity 3.1: Locating States. Activity 3.2: Bean Counters! Graphing Calculator Explorations.
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. Communicating and Interpreting the Results of Statistical Analyses. Activity 4.1: Collecting and Summarizing Numerical Data. Activity 4.2: Airline Passenger Weights. Activity 4.3: Boxplot Shapes. Graphing Calculator Explorations.
5. SUMMARIZING BIVARIATE DATA.
Correlation. Linear Regression: fitting a Line to Bivariate Data. Assessing the Fit of a Line. Nonlinear Relationships and Transformations. Logistic Regression (Optional). Communicating and Interpreting the Results of Statistical Analyses. Activity 5.1: Exploring Correlation and Regression Technology Activity (Applets). Activity 5.2: Age and Flexibility. Graphing calculator Explorations.
6. PROBABILITY.
Chance Experiments and Events. Definition of Probability. Basic Properties of Probability. Conditional Probability. Independence. Some General Probability Rules. Estimating Probabilities Empirically and Using Simulation. Activity 6.1: Kisses. Activity 6.2: A Crisis for European Sports Fans? Activity 6.3: The "Hot Hand" in Basketball. Graphing Calculator Explorations.
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. The Binomial and Geometric Distributions. Normal Distributions. Checking for Normality and Normalizing Transformations. Using the Normal Distribution to Approximate a Discrete Distribution. Activity 7.1: Rotten Eggs. Graphing Calculator Explorations.
8. SAMPLING VARIABILITY AND SAMPLING DISTRIBUTIONS.
Statistics and Sampling Variability. The Sampling Distribution of a Sample Mean. The Sampling distribution of a Sample Proportion. Activity 8.1: Do Students Who Take the SAT Multiple Times Have an Advantage in College Admissions? Graphing Calculator Explorations.
9. ESTIMATION USING A SINGLE SAMPLE.
Point Estimates. Large-Sample Confidence Interval for a Population Proportion. Confidence Interval for a Population Mean. Communicating and Interpreting the Results of Statistical Analyses. Activity 9.1: Getting a Feel for Confidence Level. Activity 9.2: An Alternative Confidence Interval for a Population Proportion.
Graphing Calculator Explorations.
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 the Probability of Type II Error. Communicating and Interpreting the Results of Statistical Analyses. Activity 10.1: Comparing the t and z Distributions. Graphing Calculator Explorations.
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 a Difference Between Two Population or Treatment Proportions. Communicating and Interpreting the Results of Statistical Analyses. Activity 11.1: Helium-Filled Footballs? Activity 11.2: Thinking About Data Collection. Graphing Calculator Explorations.
12. THE ANALYSIS OF CATEGORICAL DATA AND GOODNESS-OF-FIT TESTS.
Chi-Square Tests for Univariate Categorical Data. Tests for Homogeneity and Independence in a Two-Way Table. Communicating and Interpreting the Results of Statistical Analyses. Activity 12.1: Pick a Number, Any Number. Activity 12.2: Color and Perceived Taste. Graphing Calculator Explorations.
13. SIMPLE LINEAR REGRESSION AND CORRELATION: INFERENTIAL METHODS.
The Simple Linear Regression Model. Inferences About the Slope of the Population Regression Line. Checking Model Adequacy. Inferences Based on the Estimated Regression Line (Optional). Inferences About the Population Correlation Coefficient (Optional). Communicating and Interpreting the Results of Statistical Analyses. Activity 13.1: Are Tall Women from "Big" Families? Graphing Calculator Explorations.
14. MULTIPLE REGRESSION ANALYSIS.
Multiple Regression Models. Fitting a Model and Assessing Its Utility. Inferences Based on an Estimated Model (Online). Variable Selection and Other Issues in Multiple Regression (Online). Communicating and Interpreting the Results of Statistical Analyses (Online). Activity 14.1: Exploring the Relationship Between Number of Predictors and Sample Size.
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).
Communicating and Interpreting the Results of Statistical Analysis (Online). Activity 15.1: Exploring Single-Factor ANOVA. Appendix: ANOVA computations (Online). Graphing Calculator Exploration.
16. NONPARAMETRIC STATISTICAL METHODS (ONLINE).
Distribution-Free Procedures for Inferences about a Difference Between Two Population or Treatment Means Using Independent Samples (Online). Distribution-Free Procedures for Inferences Concerning a Difference. Between Two Population Means Using Paired Samples (Online). Distribution-Free ANOVA (Online).
Appendix: Statistical Tables.
Answers to Selected odd-Numbered Exercises.
Index.

New to this edition

  • Chapter Opening Teaching Tips have been added to beginning of each printed chapter in the Annotated Instructor's Edition. Broken down section-by-section, these tips suggest additional assignments and activities for a section, as well as the best uses of the supplemental resources for the text (such as the Activity Workbook, Instructor's Binder and Testbank) that could be included in a lesson plan.
  • Margin Teaching Tips have been integrated throughout the Annotated Instructor's Edition. These tips are strategically placed at points where an instructor can integrate an activity, a clarifying example, a quiz to test students on concept formation, and thought-provoking questions to ask your students.
  • Easy to assign. Easy to use. Easy to manage. Enhanced WebAssign allows you to assign, collect, grade, and record homework assignments via the web and includes links to text-specific content, video examples, and problem-specific tutorials. Enchanced WebAssign is more than a homework system; it is a complete learning system for your students.

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

ExamView® (Windows/Macintosh)  (ISBN-10: 0495118869 | ISBN-13: 9780495118862)

Create, deliver, and customize tests and study guides (both print and online) in minutes with this easy-to-use assessment and tutorial system, which contains all questions from the Test Bank in electronic format.

CengageNOW™, Personal Tutor, GoStatistics, Premium Web Site Printed Access Card  (ISBN-10: 0495828106 | ISBN-13: 9780495828105)

CengageNOW's Personalized Study plans allow students to study smarter by diagnosing their weak areas, and helping them focus on what they need to learn. Based on responses to chapter specific pre-tests, the plans suggest a course of study for students, including many multimedia and interactive exercises to help students better learn the material. After completing the study plan, they can take a post-test to measure their progress and understanding.

GoStatistics, Enhanced Review Edition  (ISBN-10: 0495828092 | ISBN-13: 9780495828099)
WebAssign  (ISBN-10: 0495557854 | ISBN-13: 9780495557852)
Instructor's Resource Binder  (ISBN-10: 0495118923 | ISBN-13: 9780495118923)

Includes transparencies and Microsoft® PowerPoint® slides to make lecture and class preparation quick and easy. New to this edition, we have added some Activities Worksheets authored by Carol Marchetti of Rochester Institute of Technology.

CengageNOW™, WebAssign, Personal Tutor, GoStatistics Instant Access Code  (ISBN-10: 0495828114 | ISBN-13: 9780495828112)

Save time, learn more, and succeed in the course with this online suite of resources (including an integrated eBook and Personalized Study plans) that give you the choices and tools you need to study smarter and get the grade. Note: If your text did not include a printed access card for CengageNOW, it is available for purchase online at ichapters.com

Activities Workbook  (ISBN-10: 0495118834 | ISBN-13: 9780495118831)

The Activities Workbook lets students take notes, record data, and cement their learning by completing textbook and bonus activities for each chapter.

JoinIn™ Student Response System  (ISBN-10: 0495118818 | ISBN-13: 9780495118817)

The easiest student classroom response system to use, JoinIn features instant classroom assessment and learning.

Test Bank  (ISBN-10: 049511880X | ISBN-13: 9780495118800)

Written by Josh Tabor of Wilson High School, Peter Flannagan-Hyde of Phoenix County Day School, and Chris Olsen. Includes short-answer test questions for each section of the book, plus multiple-choice comprehensive tests.

Student Solutions Manual  (ISBN-10: 0495118761 | ISBN-13: 9780495118763)

Provides worked-out solutions to the odd-numbered problems in the text.

WebAssign  (ISBN-10: 0495383511 | ISBN-13: 9780495383512)

WebAssign is the most widely used homework system in higher education. Available for this title, WebAssign allows you to assign, collect, grade, and record homework assignments via the web. This proven homework system has been enhanced to include links to the textbook sections, video examples, and problem specific tutorials. WebAssign is more than a homework system-it is a complete learning system for students.

WebAssign - Start Smart Guide for Students  (ISBN-10: 0495384798 | ISBN-13: 9780495384793)

This guide helps students navigate Enhanced WebAssign. It includes instructions on how to use the Assignment page and its Summary, tips on using MathPad for providing easy input of math notation and symbols, an overview of the Graphing Utility's drawing tools for completing graphing assignments, and information on how to access grades and scores summary.

WebAssign Printed Access Card, Single-Term for Lower Level Math  (ISBN-10: 0495390801 | ISBN-13: 9780495390800)

WebAssign, used by over one million students at more than 1,100 institutions, allows you to assign, collect, grade, and record homework assignments via the web. This proven and reliable homework system includes thousands of algorithmically generated homework problems, links to relevant textbook sections, video examples, problem-specific tutorials, and more.

Annotated Instructor's Edition, Enhanced Review Edition  (ISBN-10: 0495557846 | ISBN-13: 9780495557845)

The Annotated Instructor's Edition includes teaching tips for instructors as well as answers for all exercises, and an annotated table of contents with comments written by Roxy Peck.

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. The Third Edition includes coverage of the graphing calculator and includes expanded coverage of probability. 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. It helps students grasp concepts and cement their comprehension by using simple notation-frequently substituting words for symbols. Hands-on activities and interactive applets allow students to practice statistics firsthand. This Enhanced Edition includes new Teaching Tips for each chapter in the book, specific references to other available instructor resources, and suggestions for effectively teaching an Advanced Placement Introduction to Statistics course. Also, Enhanced WebAssign now complements a robust supplement package.

Introduction to Statistics and Data Analysis, International Edition  (ISBN-10: 049511877X | ISBN-13: 9780495118770)

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. The Third Edition includes coverage of the graphing calculator and includes expanded coverage of probability. 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. It helps students grasp concepts and cement their comprehension by using simple notation-frequently substituting words for symbols. Hands-on activities and interactive applets allow students to practice statistics firsthand.

Student Supplements

Aplia Instant Access  (ISBN-10: 1111927030 | ISBN-13: 9781111927035)

Succeed in your course with Aplia's interactive learning system--featuring practice problems with immediate feedback and tools developed specifically for INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 3rd Edition. Aplia has already helped more than a million students succeed in college classes.

Aplia Instant Access  (ISBN-10: 0538474785 | ISBN-13: 9780538474788)
Study Tabs  (ISBN-10: 0495827509 | ISBN-13: 9780495827504)
WebAssign  (ISBN-10: 0495557854 | ISBN-13: 9780495557852)
CengageNOW™, WebAssign, Personal Tutor, GoStatistics Instant Access Code  (ISBN-10: 0495828114 | ISBN-13: 9780495828112)

Save time, learn more, and succeed in the course with this online suite of resources (including an integrated eBook and Personalized Study plans) that give you the choices and tools you need to study smarter and get the grade. Note: If your text did not include a printed access card for CengageNOW, it is available for purchase online at ichapters.com.

Activities Workbook  (ISBN-10: 0495118834 | ISBN-13: 9780495118831)

Use this convenient workbook to take notes, record data, and cement your learning by completing textbook and bonus activities for each chapter.

Student Solutions Manual  (ISBN-10: 0495118761 | ISBN-13: 9780495118763)

Check your work-and your understanding-with this manual, which provides worked-out solutions to the odd-numbered problems in the text

WebAssign  (ISBN-10: 0495383511 | ISBN-13: 9780495383512)
WebAssign - Start Smart Guide for Students  (ISBN-10: 0495384798 | ISBN-13: 9780495384793)

If your instructor has chosen to package Enhanced WebAssign with your text, this manual will help you get up and running quickly with the Enhanced WebAssign system so you can study smarter and improve your performance in class.

WebAssign Printed Access Card, Single-Term for Lower Level Math  (ISBN-10: 0495390801 | ISBN-13: 9780495390800)

WebAssign, used by over one million students at more than 1,100 institutions, allows you to assign, collect, grade, and record homework assignments via the web. This proven and reliable homework system includes thousands of algorithmically generated homework problems, links to relevant textbook sections, video examples, problem-specific tutorials, and more.