Last edition Elsevier Over a generation ago, advances in “data processing» led to new business opportunities as first centralized and then desktop computing proliferated. The Information Age was born. Computer sci¬ence became much more than just an adjunct to a mathematics curriculum, and whole new’ fields of studies, such as computer information systems, emerged. More recently, further advances in information technologies have combined with data analysis techniques to create new opportunities in what is more data science than data processing or com¬puter science. The world of business statistics has grown larger, bumping into other disciplines.
Last Edition
ISBN 13: 9781292243665
Imprint: Pearson Education Limited
Language: English
Authors: Mark L Berenson
Pub Date: 11/2017
Pages: 832
Illus: Illustrated
Weight: 1,630.00 grams
Size: h 216 x 270 mm
Product Type: Softcover
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- • Getting Started: Important Things to Learn First—In a time of change, you can never know exactly \what knowledge and background students bring into an introductory business statistics classroom.
- • Add that to the need to curb the fear factor about learning statistics that so many students begin w ith, and there's a lot to cover even before you teach your first statistical concept.
- • We created “Getting Started: Important Things to Learn First” to meet this challenge. This unit sets the context for explaining what statistics is (not what students may think!) while ensur¬ing (hat all students share an understanding of the forces that make learning business statistics critically important today. Especially designed for instructors teaching with course management tools, including those leaching hybrid or online courses, ‘Getting Started" has been developed to be posted online or otherwise distributed before the first class section begins and is available for download as explained in Appendix C.
- • Student Tips—In-margin notes reinforce hard-to-master concepts and provide quick study lips for mastering important details.
- • Discussion of Business Analytics—"Getting Started: Important Things io Learn First” quickly defines business analytics and bi# data and notes how these things are changing the face of statistics. This material serves as an introduction to the new “ Business Analytics” chapter (Chapter 17).
- • This new chapter begins with a scenario that uses the management of a theme park Io introduce applications of business analytics. The chapter begins by discussing descriptive visualization methods used for general oversight and applies them to issues raised in the scenario. Using other examples, the chapter then discusses the predictive analytics methods classification and regres¬sion trees, neural nets, cluster analysis, and multidimensional scaling that are in common use today.
- Mark L. Berenson is Professor of Management and Information Systems at Montclair Stale University (Montclair. New Jersey) and also Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (City University of New York). He currently teaches graduate and undergraduate courses in statistics and in operations management in the School of Business and an undergraduate course in international justice and human rights that he co-developed in the College of Humanities and Social Sciences. Berenson received a B.A. in economic statistics and an M.B.A. in business statistics from City College of New York and a Ph.D. in business from the City University of New York.
- Berenson's research has been published in Decision Sciences Journal o f Innovative Education, Review o f Business Research, The American Statistician. Communications in Statistics.
- Psychomet rika, Educational and Psychological Measurement, Journal o f Management Sciences and Applied Cybernetics, Research Quarterly, Stats Magazine, The New York Statistician, Journal o f Health Administration Education, Journal o f Behavioral Medicine, and Journal o f Surgical Oncology. His invited articles have appeared in The Encyclopedia of Measurement & Statistics and Encyclopedia o f Statistical Sciences. He is co-author of 11 statistics texts published by Prentice Hall, including Statistics for Managers Using Microsoft Excel, Basic Business Statistics: Concepts and Applications, and Business Statistics: A First Course.
- Over the years. Berenson has received several awards for teaching and for innovative contributions to statistics education. In 2005, he was the first recipient of the Catherine A. Becker Service for Educational Excellence Award al Montclair Slate University and. in 2012. he was the recipient of the Khubani/Telebrands Faculty Research Fellowship in the School of Business.
- Preface 19
- Getting Started: Important Things to Learn First 29
- 1 Defining and Collecting Data 41
- 2 Organizing and Visualizing Variables 64
- 3 Numerical Descriptive Measures 129
- 4 Basic Probability 179
- 5 Discrete Probability Distributions 213
- 6 The Normal Distribution and Other Continuous Distributions 247
- 7 Sampling Distributions 278
- 8 Confidence Interval Estimation 300
- 9 Fundamentals of Hypothesis Testing: One-Sample Tests 336
- 10 Two-Sample Tests 375
- 11 Analysis of Variance 422
- 12 Chi-Square and Nonparametric Tests 475
- 13 Simple Linear Regression 519
- 14 Introduction to Multiple Regression 571
- 15 Multiple Regression Model Building 624
- 16 Time-Series Forecasting 657
- 17 Business Analytics 702
- 18 A Roadmap for Analyzing Data 735
- 19 Statistical Applications in Quality Management (online)
- 20 Decision Making (online)
- Appendices A-G 743
- Self-Test Solutions and Answers to Selected Even-Numbered Problems 795
- Index 831
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