Business Statistics, Third Canadian Edition

Conceptual and applied, with emphasis on analyzing and interpreting Canadian data to make informed business decisions. The book draws students in using a conversational writing style and delivers content with a fresh, exciting approach that reflects the authors’ blend of teaching, consulting, and entrepreneurial experiences.

KEY TOPICS:

Introduction to Statistics; Data; Surveys and Sampling; Displaying and Describing Categorical Data; Displaying and Describing Quantitative Data; Scatterplots, Association, and Correlation; Introduction to Linear Regression; Randomness and Probability; Random Variables and Probability Distributions; Sampling Distributions; Confidence Intervals for Proportions; Testing Hypotheses about Proportions; Confidence Intervals and Hypothesis Tests for Means; Comparing Two Means; Design of Experiments and Analysis of Variance (ANOVA); Inference for Counts: Chi-Square Tests; Nonparametric Methods; Inference for Regression; Understanding Regression Residuals; Multiple Regression; Building Multiple Regression Models; Time Series Analysis; Decision Making and Risk; Quality Control

MARKET:

Appropriate for the Intro to Business Statistics-One or Two Term course.

Norean Radke Sharpe (Ph.D. University of Virginia) has developed an international reputation as an educator, administrator, and consultant on assessment and accreditation. She is currently a professor at the McDonough School of Business at Georgetown University, where she is also Senior Associate Dean and Director of Undergraduate Programs. Prior to joining Georgetown, Norean taught Business Statistics and Operations Research courses to both undergraduate and MBA students for 14 years at Babson College. Before moving into business education, she taught Statistics for several years at Bowdoin College and conducted research at Yale University. Norean is co-author of the recent text, A Casebook for Business Statistics: Laboratories for Decision Making, and she has authored more than 30 articles–primarily in the areas of Statistics education and women in science. Norean currently serves as Associate Editor for the journal Cases in Business, Industry, and Government Statistics. Her scholarship focuses on business forecasting, Statistics education, and student learning. She is co-founder of the DOME Foundation, a nonprofit foundation that works to increase diversity and outreach in mathematics and engineering, and she currently serves on two other non-profit boards in the Washington, D.C., area. Norean has been active in increasing the participation of women and underrepresented students in science and mathematics for several years and has two children of her own.

Richard D. De Veaux (Ph.D. Stanford University) is an internationally known educator, consultant, and lecturer. Dick has taught Statistics at a business school (Wharton), an engineering school (Princeton), and a liberal arts college (Williams). While at Princeton, he won a Lifetime Award for Dedication and Excellence in Teaching. Since 1994, he has taught at Williams College, although he returned to Princeton for the academic year 2006―2007 as the William R. Kenan Jr. Visiting Professor of Distinguished Teaching. He is currently the C. Carlisle and Margaret Tippit Professor of Statistics at Williams College. Dick holds degrees from Princeton University in Civil Engineering and Mathematics and from Stanford University in Dance Education and Statistics, where he studied with Persi Diaconis. His research focuses on the analysis of large data sets and data mining in science and industry. Dick has won both the Wilcoxon and Shewell awards from the American Society for Quality. He is an elected member of the International Statistics Institute (ISI) and a Fellow of the American Statistical Association (ASA). He currently serves on the board of directors of the ASA. Dick is also well known in industry, having consulted for such Fortune 500 companies as American Express, Hewlett-Packard, Alcoa, DuPont, Pillsbury, General Electric, and Chemical Bank. He was named the Statistician of the Year for 2008 by the Boston Chapter of the American Statistical Association for his contributions to teaching, research, and consulting. In his spare time he is an avid cyclist and swimmer. He also is the founder and bass player for the doo-wop group The Diminished Faculty, and is a frequent singer and soloist with various local choirs, including the Choeur Vittoria of Paris, France. Dick is the father of four children.

Paul F. Velleman (Ph.D. Princeton University) has an international reputation for innovative Statistics education. He designed the Data Desk® software package and is also the author and designer of the award-winning ActivStats® multimedia software, for which he received the EDUCOM Medal for innovative uses of computers in teaching Statistics and the ICTCM Award for Innovation in Using Technology in College Mathematics. He is the founder and CEO of Data Description, Inc. (www.datadesk.com), which supports both of these programs. He also developed the internet site Data and Story Library (DASL; lib.stat.cmu.edu/DASL/), which provides data sets for teaching Statistics. Paul co-authored (with David Hoaglin) the book ABCs of Exploratory Data Analysis. Paul teaches Statistics at Cornell University in the Department of Statistical Sciences and in the School of Industrial and Labor Relations, for which he has been awarded the MacIntyre Prize for Exemplary Teaching. His research often focuses on statistical graphics and data analysis methods. Paul is a Fellow of the American Statistical Association and of the American Association for the Advancement of Science. Paul’s experience as a professor, entrepreneur, and business leader brings a unique perspective to the book. Richard De Veaux and Paul Velleman have authored successful books in the introductory college and AP High School market with David Bock, including Intro Stats, Fourth Edition (Pearson, 2014); Stats: Modeling the World, Fourth Edition (Pearson, 2015); and Stats: Data and Models, Third Edition (Pearson, 2012).

David Wright combines an Engineering Ph.D. from Cambridge University, UK, with his current position as Full Professor at the University of Ottawa’s Telfer School of Management to provide a business perspective on new technology. Dr. Wright has taught in universities on three continents, and has experience in government and in industry. In government, he has developed statistical models to evaluate the impact of industrial society on natural resource depletion. In industry, he has worked with telecommunications equipment vendors and network operators on the impact of new technology on business. His university teaching and research includes the economics of solar energy, business statistics, and the environmental impact of the ICT industry. He is cited in Who’s Who in the World, Who’s Who in Canadian Business, and Who’s Who in Science and Engineering.