About the Book
KEY BENEFIT Analyzing the Data Applicable to Business This text is the gold standard for learning how to use Microsoft Excel(R) in business statistics, helping students gain the understanding they need to be successful in their careers. The authors present statistics in the context of specific business fields; full chapters on business analytics further prepare students for success in their professions. Current data throughout the text lets students practice analyzing the types of data they will see in their professions. The friendly writing style include tips throughout to encourage learning.
KEY TOPICS First Things First; Defining and Collecting Data; Organizing and Visualizing Variables; Numerical Descriptive Measures; Basic Probability; Discrete Probability Distributions; The Normal Distribution and Other Continuous Distributions; Sampling Distributions; Confidence Interval Estimation; Fundamentals of Hypothesis Testing: One-Sample Tests; Two-Sample Tests; Analysis of Variance; Chi-Square and Nonparametric Tests; Simple Linear Regression; Introduction to Multiple Regression; Multiple Regression Model Building; Time-Series Forecasting; Getting Ready to Analyze Data in the Future; Statistical Applications in Quality Management (online); Decision Making (online); Basic Math Concepts and Symbols; Important Excel and Minitab Skills; Skills and Concepts; Online Resources; Configuring Microsoft Excel; Tables; Software FAQs
MARKET For anyone interested in business statistics.
About the Author:
David M. Levine is Professor Emeritus of Statistics and Computer Information Systems at Baruch College (City University of New York). He received B.B.A. and M.B.A. degrees in statistics from City College of New York and a Ph.D. from New York University in industrial engineering and operations research. He is nationally recognized as a leading innovator in statistics education and is the co-author of 14 books, including such best-selling statistics textbooks as
Statistics for Managers Using Microsoft Excel, Basic Business Statistics: Concepts and Applications, Business Statistics: A First Course, and
Applied Statistics for Engineers and Scientists Using Microsoft Excel and Minitab. He also is the co-author of
Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics, currently in its second edition,
Six Sigma for Green Belts and Champions and
Design for Six Sigma for Green Belts and Champions, and the author of
Statistics for Six Sigma Green Belts, all published by FT Press, a Pearson imprint, and
Quality Management, third edition, McGraw-Hill/Irwin. He is also the author of
Video Review of Statistics and
Video Review of Probability, both published by Video Aided Instruction, and the statistics module of the MBA primer published by Cengage Learning. He has published articles in various journals, including
Psychometrika, The American Statistician, Communications in Statistics, Decision Sciences Journal of Innovative Education, Multivariate Behavioral Research, Journal of Systems Management, Quality Progress, and
The American Anthropologist, and he has given numerous talks at the Decision Sciences Institute (DSI), American Statistical Association (ASA), and Making Statistics More Effective in Schools and Business (MSMESB) conferences. Levine has also received several awards for outstanding teaching and curriculum development from Baruch College.
David F. Stephan is an independent instructional technologist. He was an Instructor/Lecturer of Computer Information Systems at Baruch College (City University of New York) for over 20 years and also served as an Assistant to the Provost and to the Dean of the School of Business & Public Administration for computing. He pioneered the use of computer classrooms for business teaching, devised interdisciplinary multimedia tools, and created techniques for teaching computer applications in a business context. He also conducted the first large-scale controlled experiment to show the benefit of teaching Microsoft Excel in a business case context to undergraduate students. An avid developer, he created multimedia courseware while serving as the Assistant Director of a Fund for the Improvement of Postsecondary Education (FIPSE) project at Baruch College. Stephan is also the originator of PHStat, the Pearson Education statistical add-in for Microsoft Excel and a co-author of
Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics and
Practical Statistics by Example Using Microsoft Excel and Minitab. He is currently developing ways to extend the instructional materials that he and his co-authors develop to mobile and cloud computing platforms as well as develop social-media facilitated means to support learning in introductory business statistics courses. Stephan received a B.A. in geology from Franklin and Marshall College and a M.S. in computer methodology from Baruch College (City University of New York).
Kathryn A. Szabat is Associate Professor and Chair of Business Systems and Analytics at LaSalle University. She teaches undergraduate and graduate courses in business statistics and operations management. She also teaches as Visiting Professor at the Ecole Superieure de Commerce et de Management (ESCEM) in France. Szabat's research has been published in
International Journal of Applied Decision Sciences, Accounting Education, Journal of Applied Business and Economics, Journal of Healthcare Management, and
Journal of Management Studies. Scholarly chapters have appeared in
Managing Adaptability, Intervention, and People in Enterprise Information Systems; Managing, Trade, Economies and International Business; Encyclopedia of Statistics in Behavioral Science; and
Statistical Methods in Longitudinal Research. Szabat has provided statistical advice to numerous business, non-business, and academic communities. Her more recent involvement has been in the areas of education, medicine, and nonprofit capacity building. Szabat received a B.S. in mathematics from State University of New York at Albany and M.S. and Ph.D. degrees in statistics, with a cognate in operations research, from the Wharton School of the University of Pennsylvania.
