Study Guide and Solutions Manual for Business Statistics (8^th Ed.) A First Course

Brief Contents

David M. Levine, Kathryn A. Szabat, and David F. Stephan are all experienced business school educators committed to innovation and improving instruction in business statistics and related subjects.

David Levine, Professor Emeritus of Statistics and CIS at Baruch College, CUNY is a nationally recognized innovator in statistics education for more than three decades. Levine has coauthored 14 books, including several business statistics textbooks; textbooks and professional titles that explain and explore quality management and the Six Sigma approach; and, with David Stephan, a trade paperback that explains statistical concepts to a general audience. Levine has presented or chaired numerous sessions about business education at leading conferences conducted by the Decision Sciences Institute (DSI) and the American Statistical Association, and he and his coauthors have been active participants in the annual DSI Making Statistics More Effective in Schools and Business (MSMESB) mini-conference. During his many years teaching at Baruch College, Levine was recognized for his contributions to teaching and curriculum development with the College’s highest distinguished teaching honor. He earned BBA and MBA degrees from CCNY, and a PhD in industrial engineering and operations research from New York University.

As Associate Professor and Chair of Business Systems and Analytics at La Salle University, KathrynSzabat has transformed several business school majors into one interdisciplinary major that better supports careers in new and emerging disciplines of data analysis including analytics. Szabat strives to inspire, stimulate, challenge, and motivate students through innovation and curricular enhancements, and shares her coauthors’ commitment to teaching excellence and the continual improvement of statistics presentatio

Business Statistics follows 5 guiding principles:

1. Help students see the relevance of statistics in their own careers by using examples from functional areas (e.g.,accounting, finance, marketing, etc.) that they may specialize in.
2. Emphasize interpretation and analysis of statistical results over calculation, as these activities are more important to students’ futures.
3. Give students ample practice in understanding how to apply statistics to business (e.g.,classroom examples and homework exercises involve actual or realistic data, and both small and large data sets).  
4. Familiarize students with the use of data analysis software. Microsoft Excel, JMP, and Minitab are integrated into all topics to illustrate how software can help in the business decision-making process.
5. Provide clear data analysis softwareinstructions to students so they understand how to use the programs.

A real-life business approach grounds statistics in everyday life, helping students see how the concepts they are learning apply to their future careers.

• NEW - An online First Things First chapter uses real-world examples to illustrate how developments such as the increasing use of business analytics and big data have made knowing and understanding stats that much more critical.
• NEW and REVISED - Using Statistics business scenarios open each chapter, providing context for the concepts and showing how statistics is used in key functional areas of business. At the end of the chapter, Using Statistics, Revisited, reinforces the statistical methods and applications just discussed. In the 8th Edition, 7 chapters have new or revised Using Statistics scenarios.
• A running end-of-chapter Case throughout the text helps integrate learning across chapters and t