Nelson Higher Education

Higher Education

Introduction to Probability and Statistics, 2nd Edition

  • William Mendenhall
  • Robert J. Beaver
  • Barbara M. Beaver
  • S. Ejay Ahmed
  • ISBN-10: 0176440887
  • ISBN-13: 9780176440886
  • 0 Pages | Hardcover
  • Previous Editions: 2009
  • COPYRIGHT: 2011 Published
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About the Product

Introduction to Probability and Statistics expertly sheds light on the fundamental reasoning, methods and applications of statistics. From simple, clear explanations, students learn not only how to reason statistically, but also how to correctly interpret statistical results. The authors emphasize how to: Apply statistical procedures, uncover the meaning of statistical research in terms of their practical applications, evaluate the validity of assumptions behind statistical tests, determine what to do when those assumptions have been violated, and meaningfully describe real data sets.


  • While retaining the straightforward presentation and traditional outline for descriptive and inferential statistics this Second Canadian edition incorporates more relevance to Canadian statistics students.

  • The use of Metric units

  • Almost 200 Canadian and global examples (such as Hockey statistics, Lotto 649, Canadian gas prices and Canadian health care)

About the Author

William Mendenhall

The late Dr. Mendenhall served in the Navy in the Korean War and obtained a Ph.D. in Statistics at North Carolina State University. After receiving his Ph.D , he was a professor in the Mathematics Department at Bucknell University in Pennsylvania before moving to Gainesville in 1963 where he was the first chairman of the Department of Statistics at the University of Florida. Dr. Mendenhall published articles in some of the top statistics journals, such as Biometika and Technometrics; however, he is more widely known for his prolific textbook career. He authored or co-authored approximately 13 Statistics textbooks and several books about his childhood.

Robert J. Beaver

Robert J. Beaver graduated from Bloomsburg State Teachers College (now Bloomsburg University) in 1959. In 1964, he completed an M.S. in Mathematics from Bucknell University and enrolled in the graduate program in Statistics chaired by William Mendenhall at the University of Florida. After completing a Ph.D. in Statistics with a minor in Mathematics, Beaver took the position of Assistant Professor at the newly formed Department of Statistics headed by F. N. David at the University of California, Riverside. Dr. Beaver spent his entire career at Riverside, moving through the ranks to Full Professor. His research areas included paired comparisons and skewed distributions including the skewed normal, skewed Cauchy, and skewed logistic. During his time at Riverside, Beaver served as chairman of the Department of Statistics as well as chairman of the faculty of the College of Natural and Agricultural Sciences. After 35 years at Riverside, he retired in 2005 as Professor Emeritus and Statistician. Beaver has been an author for Cengage since 1966, authoring and co-authoring various Study Guides and textbooks with William Mendenhall and other authors. He and his wife Barbara have two children and four grandchildren.

Barbara M. Beaver

Barbara M. Beaver received a B.A. in Mathematics (Magna Cum Laude) from Bucknell University in 1968 and a Master of Statistics degree from the University of Florida in 1970. She was employed as an Associate in Statistics at the Department of Statistics, University of California, Riverside from 1971-1977 on a part time basis. In 1992, she began a full-time appointment as a Lecturer in the Department of Statistics, teaching a variety of introductory statistics classes at the University of California, Riverside. She retired from teaching in 2008. Barbara has been an author and technical editor for Cengage since 1968, developing Solutions Manuals and Study Guides for a number of introductory statistics texts, and participating as a co-author with William Mendenhall and Robert J. Beaver on several statistics textbooks. Until her retirement, Barbara also worked as a professional musician, playing viola in the Riverside County Philharmonic, the Redlands Symphony, and various freelance groups in the Inland Empire area. She and her husband Bob have two children and four grandchildren.

S. Ejay Ahmed

S. Ejay Ahmed is a professor of statistics and has headed the Department of Mathematics and Statistics at the University of Windsor since 2002. He is a founding director for the Centre for Statistical Consulting, Research, Learning and Services. Dr. Ahmed is a Fellow of the American Statistical Association. He is an elected member of the International Statistical Institute, a Fellow of the Royal Statistical Society, and is the book review editor of Technometrics. Dr. Ahmed serves as an associate editor for several international statistical journals, including Computational Statistics and Data Analysis (CSDA) and the Journal of Statistical Computation and Simulation (JSCS). He was a guest co-editor for Linear Algebra and its Applications (LAA), and co-edited two research volumes. He has served as a director and chairman of the education committee of the Statistical Society of Canada, and is co-author of a popular textbook Introduction to Probability and Statistics and author of another textbook entitled Essentials of Probability and Probability Models: A basic course in mathematical statistics. His area of expertise includes statistical inference, statistical education and consulting. He has made more than 110 scholarly presentations by invitation in various countries around the globe and authored more than 125 peer-reviewed articles on probability and statistics.

Table of Contents


Chapter 1: Describing Data with Graphs
Chapter 2: Describing Data with Numerical Measures
Chapter 3: Describing Bivariate Data
Chapter 4: Probability and Probability Distributions
Chapter 5: Several Useful Discrete Distributions
Chapter 6: The Normal Probability Distribution
Chapter 7: Sampling Distributions
Chapter 8: Large-Sample Estimation
Chapter 9: Large Sample Tests of Hypothesis
Chapter 10: Inference From Small Samples
Chapter 11: The Analysis of Variance
Chapter 12: Linear Regression and Correlation
Chapter 13: Multiple Regression Analysis
Chapter 14: Analysis of Categorical Data
Chapter 15: Nonparametric Statistics

Appendix I: Tables
Data Sources
Answers to Selected Exercises

New to this edition

  • A new full colour design helps bring the content to life
  • Updated data examples
  • Updated sample data (specifically from Census Canada)
  • A new feature called 'Big Picture Exercises" was added
  • Enhanced WebAssign is now available as an online homework and study management tool
  • NETA test bank understands that an exceptional quality multiple-choice test bank provides the means to measure higher-level thinking skills, as well as recall. To ensure the value of our test banks, we have created the Nelson Education Teaching Advantage program (NETA). NETA is a program designed to validate the quality of our testbanks in a systematic fashion, and involves a partnership with David DiBattista at Brock University and our testbank authors. NETA ensures that subject-matter experts who author testbanks have had training in two areas: avoiding common errors in question and test construction, and developing multiple-choice test questions that “get beyond remembering” to assess higher-level thinking.


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

Instructor Supplements

Instructor's Resource CD for Introduction to Probability and Statistics  (ISBN-10: 0176473149 | ISBN-13: 9780176473143)
Test Bank for Introduction to Probability and Statistics  (ISBN-10: 0176473076 | ISBN-13: 9780176473075)

Student Supplements

EWA Instant Access Code for Intro To Probability and Statistics 2nd Edition  (ISBN-10: 0176604413 | ISBN-13: 9780176604417)
Student Solutions Manual for Introduction to Probability and Statistics  (ISBN-10: 0176473084 | ISBN-13: 9780176473082)