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.
First Things First
1. Defining and Collecting Data
2. Organizing and Visualizing Variables
3. Numerical Descriptive Measures
4. Basic Probability 5. Discrete Probability Distributions
5. The Normal Distribution and Other Continuous Distributions
6. Sampling Distributions
7. Confidence Interval Estimation
8. Fundamentals of Hypothesis Testing: One-Sample Tests
9. Two-Sample Tests
10. Analysis of Variance
11. Chi-Square and Nonparametric Tests
12. Simple Linear Regression
13. Introduction to Multiple Regression
14. Multiple Regression Model Building
15. Time-Series Forecasting
16. Getting Ready to Analyze Data in the Future
17. Statistical Applications in Quality Management (online)
18. Statistical Applications in Quality Management (online)
18. Decision Making (online)
Appendices
A. Basic Math Concepts and Symbols
Chapter 1 Introduction
Chapter 2 Grouping and Displaying Data to Convey Meaning:
Tables and Graphs
Chapter 3 Measures of Central Tendency and Dispersion
in Frequency Distributions
Chapter 4 Probability I: Introductory Ideas
Chapter 5 Probability Distributions
Chapter 6 Sampling and Sampling Distributions
Chapter 7 Estimation
Chapter 8 Testing Hypotheses: One-sample Tests
Chapter 9 Testing Hypotheses: Two-sample Tests
Chapter 10 Quality and Quality Control
Chapter 11 Chi-Square and Analysis of Variance
Chapter 12 Simple Regression and Correlation
Chapter 13 Multiple Regression and Modeling
Chapter 14 Nonparametric Methods
Chapter 15 T ime Series and Forecasting
Chapter 16 Index Numbers
Chapter 17 Decision Theory
Appendix Tables
Bibliography
Index
About the Book
Analyzing data with a focus on software results: the authors believe that using computer software is a vital part of learning statistics. This text emphasizes data analysis through interpretation of the results from Microsoft Excel®, reducing the focus on doing the computations by hand. Excel content includes:
End-of-chapter Excel Guides
In-depth Excel step-by-step instructions
Excel Guide workbooks
PHStat, a statistics add-in system for Excel
Five appendices:
Appendix B introduces the fundamentals of using Excel and Minitab®.
Appendix C elaborates on accessing available online resources, including PHStat.
Appendix D and F discusses useful Excel operations.
Appendix G presents the answers to some frequently-asked questions about Excel and PHStat.
Improved compatibility with all Mac Excel versions and OpenOffice.org Calc 3, the open-source, Excel work-alike application (in-depth Excel instructions only).
An Integrated Five-step Approach make it easier for students to follow the progression of applying statistics: Define, Collect, Organize, Visualize, Analyze.
First Things First sets the context for explaining what statistics is (not what students may think), while ensuring that students understand why learning business statistics is important today. This chapter is especially helpful for instructors using course management tools, including hybrid or online courses; this chapter is designed for distribution before the first class begins.
NEW! First Things First has been redesigned as a "pre-chapter" and contains a new Using Statistics scenario.
Using Statistics business scenarios begin each chapter, showing how statistics is used in accounting, finance, information systems, management, or marketing. Scenarios are then used throughout the chapter to provide an applied context for the concepts, to bring students from knowing to applying.
Digital Cases ask students to examine interactive PDF documents and sift through claims and information in order to discover the data most relevant to a business case scenario. Students determine whether the conclusions and claims are supported by the data, and in doing, they discover and learn how to identify common misuses of statistical information.
Student Tips in the margin reinforce hard-to-master concepts and provide quick study tips for mastering important details.
Getting Ready to Analyze Data in the Future: the final chapter helps students understand how to make decisions about which statistical methods to use in real world problems. This capstone chapter bring the issues in First Things First scenarios full circle, and gives students the ability to apply business statistics to the real world.
UPDATED! For the new edition, the chapter now includes sections on Business Analytics.
Case Studies offer realistic business scenarios Apply fundamental concepts. This text contains:
Detailed case studies that are included in numerous chapters.
A "Managing Ashland MultiComm Services" continuing case.
NEW! Recurring student survey case called "The Clear Mountain Student Survey"
Also available with MyStatLab™
MyStatLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.
NEW! Excel launch enables students to quickly and easily launch data sets from exercises into a Microsoft Excel spreadsheet for analysis.
NEW! Excel 2016 questions (for both Windows® and Mac®) let you take advantage of the latest software.
NEW! Learning Catalytics™ questions for Business Statistics help students develop on-the-spot critical thinking and application of statistical concepts. Learning Catalytics is an interactive student response tool that uses students' smartphones, tablets, or laptops to engage them in more sophisticated tasks and thinking. Now included with MyLab & Mastering with eText, Learning Catalytics enables you to generate classroom discussion, guide your lecture, and promote peer-to-peer learning with real-time analytics.
• Emphasis on providing easy-to-understand explanation of statistical topic a strong real-world focus
• Offers three types of end-of-chapter exercise - Basic Concepts (exercises without scenarios), Applications (with scenarios), and Self-Check Exercises (with worked-out solutions right in the section)
• Increase in the number of real-world examples in the end-of-chapter sections Review and Application Exercises
• Includes new problems and cases specifically covering the Indian scenario
• Provides a stepwise guide along with relevant snapshots for running various tools on the SPSS software and the MS Excel Package