Applied Statistics in Business and Economics | Sixth Edition | SIE

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Apr 27, 2020 - Business & Economics - 816 pages
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This text explains the meaning of variation in the context of business, with the help of real data and real business applications. It focuses not only on an in-depth explanation of the concepts but also demonstrates easily mastered software techniques using the common software available. The book is in line with the Current Statistical Practices and offers practical advice on when to use or not to use them.

Salient Features:

• Exclusive section for Indian Cases with questions!

• New and updated Mini Cases for economics and business.

• New and updated exercise data sets, web links, Big Data Sets, and Related Reading.

• Updated Excel support, including screen shots, menus, and functions.

• Introduction to the topic of Analytics and how it fits in with Business Statistics.

• Updated exercises with emphasis on compatibility with Connect®.

• Updated test bank questions matched with topics and learning objectives.

• Expanded treatment of regression, including multiplicative models, interaction effects, and two sections entirely dedicated to logistic regression.

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About the author (2020)

David P. Doane is accredited by the American Statistical Association as a Professional Statistician (PStat®). He is professor emeritus in Oakland University’s Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas and his PhD from Purdue University’s Krannert Graduate School. His research and teaching interests include applied statistics, forecasting, and statistical education. He is co-recipient of three National Science Foundation grants to develop software to teach statistics and to create a computer classroom. He is a longtime member of the American Statistical Association, serving in 2002 as president of the Detroit ASA. He has consulted with government, health care organizations, and local firms. He has published articles in many academic journals. He currently belongs to ASA chapters in San Diego and Orange County/Long Beach.

Lori E. Seward is a senior instructor of Operations Management in The Leeds School of Business at the University of Colorado in Boulder. She earned her Bachelor of Science and Master of Science degrees in Industrial Engineering at Virginia Tech. After several years working as a reliability and quality engineer in the paper and automotive industries, she earned her PhD from Virginia Tech and joined the faculty at The Leeds School in 1998. She has been the coordinator of the undergraduate core business statistics course and currently teaches as well as coordinates the core statistics course for both the Leeds full-time and Executive MBA programs. She is also responsible for coordinating the undergraduate program in Operations Management. She served as the chair of the INFORMS Teachers’ Workshop for the annual 2004 meeting. Her teaching interests focus on developing pedagogy that uses technology to create a collaborative learning environment in large undergraduate and MBA statistics courses. Her most recent article, co-authored with David Doane, was published in the Journal of Statistics Education (2011).

Shovan Chowdhury is a tenured Associate Professor in the area of Quantitative Methods and Operations Management at Indian Institute of Management Kozhikode, Kerala, India. He obtained Bachelor of Science, Masters of Science, and PhD degrees in Statistics from Calcutta University, Kolkata, India. His teaching interests include applied statistics, data analytics, and multivariate analysis. His research interests lie in the areas of statistical quality control, reliability analysis, inferential aspects of queueing models, and predictive analytics. He has published several articles in international peer-reviewed academic journals, including Statistics and Probability Letters, Operations Research Letters, International Journal of Production Research, International Statistical Review, Communications in Statistics, and Quality and Reliability Engineering International. He is a life member of International Indian Statistical Association and members of ASA and INFORMS. He has worked as consultant statistician with software firms, and healthcare organizations.

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