This text combines traditional coverage of beginning probability and statistics with emphasis on real applications taken from a wide variety of published sources. Designed for a one-semester course, it emphasizes concepts and an intuitive presentation of core methodology using a wide variety of applications. While not presupposing the use of a statistical computer package, the role of the computer in data analysis is illustrated with examples that show output from Minitab, SPSS, and SAS.

Introductory Statistics :

Science & Math

Peck, Roxy

DEVORE, JAY

Mathematics

Thomson Learning

Real data and real examples make statistics real for you! Discover the importance of statistics and how the practice affects your life and the world around you with STATISTICS: THE EXPLORATION AND ANALYSIS OF DATA. Authors Devore and Peck have helped thousands of students master statistical concepts and learn to apply them. Using real data, the authors show you how statistical techniques are used with increasing frequency in a variety of fields, including business, medicine, social sciences, and applied sciences such as engineering. Their accessible writing style is enhanced by numerous examples, including hands-on activities and "Seeing Statistics" applets. Plus, you can chart your own path to success with StatisticsNOW, the personalized online learning companion, and Personal Tutor with SMARTHINKING, which gives you access to live online tutoring!

Statistics: The Exploration and Analysis of Data

DeVore, Jay L.

West Group

Students save money when purchasing bundled products. This package includes Statistics: Learning from Data, Loose-leaf Version, 2nd Edition, and Statistics Companion: Support for Introductory Statistics, Loose-leaf Version.

Bundle: Statistics: Learning from Data, Loose-leaf Version, 2nd + Statistics Companion: Support for Introductory Statistics, Loose-leaf Version

Short, Tom

Cengage Learning'

About the Author\nRoxy Peck is emerita associate dean 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, Dr. Peck 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. Dr. Peck 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. Dr. Peck 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, Dr. Peck is co-editor of STATISTICAL CASE STUDIES: A COLLABORATION BETWEEN ACADEME AND INDUSTRY and is a member of the editorial board for STATISTICS: A GUIDE TO THE UNKNOWN, 4TH EDITION. Outside of the classroom, she likes to travel and spends her spare time reading mystery novels. Dr. Peck also collects Navajo rugs and heads to Arizona and New Mexico whenever she can find the time.\nChris 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.\nJay 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

Bundle: Introduction to Statistics and Data Analysis, Loose-leaf Version, 6th + WebAssign Printed Access Card, Single-Term

Olsen, Chris

WebAssign with Corequisite Support for Peck/Short's STATISTICS: LEARNING FROM DATA, 2nd Edition, propels your journey to success and helps you prepare for class with confidence. Its online learning platform for your Statistics course 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!

WebAssign with Corequisite Support for Peck/Short's Statistics: Learning from Data, Single-Term Printed Access Card

WebAssign with Corequisite Support for Peck/Olsen/Short, Introduction to Statistics and Data Analysis, Single-Term Printed Access Card

About the Author Roxy Peck is emerita associate dean 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, Dr. Peck 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. Dr. Peck 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. Dr. Peck 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, Dr. Peck is co-editor of "Statistical Case Studies: A Collaboration Between Academe and Industry" and is a member of the editorial board for "Statistics: A Guide to the Unknown, 4th Edition." Outside the classroom, she likes to travel and spends her spare time reading mystery novels. Dr. Peck also collects Navajo rugs and heads to Arizona and New Mexico whenever she can find the time.The late Tom Short was an Associate Professor in the Statistics Program within the Department of Mathematics at West Chester University of Pennsylvania. He also previously held faculty positions at Villanova University, Indiana University of Pennsylvania and John Carroll University. He was a Fellow of the American Statistical Association and received the 2005 Mu Sigma Rho Statistics Education Award. Tom served on the leadership team for readings of the Advanced Placement (AP) Statistics Exam, and on the AP Statistics Development Committee. He also served on the Board of Directors of the American Statistical Association. Tom treasured the time he shared with his four children and the many adventures experienced with his wife, Darlene.

Bundle: Statistics Learning From Data, loose-leaf version + WebAssign, 1 Term Printed Access

Learn how to think like a statistician with Peck/Case's STATISTICS: LEARNING FROM DATA, 3rd Edition. This updated edition addresses common obstacles to learning based on the latest research for mastering statistics and probability. The authors use proven methods to carefully explain areas where you are most likely to struggle -- probability, hypothesis testing and selecting an appropriate method of analysis. You strengthen your conceptual understanding, procedural fluency and ability to put knowledge into practice with this edition's learning objectives, real-data examples, updated exercises and technology notes. WebAssign digital resources and Cengage's Statistical Analysis and Learning Tool (SALT) are also available to guide you in thinking statistically. SALT is an easy-to-use data analysis tool that allows you to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding about the meaning behind the data.

Statistics: Learning from Data

Case, Catherine

Statistics, Loose-leaf Version

Statistics Companion: Support for Introductory Statistics, Loose-leaf Version

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