Business Statistics

Description

For one-semester business statistics courses.

 

A focus on using statistical methods to analyze and interpret results to make data-informed business decisions

Statistics is essential for all business majors, and Business Statistics: A First Course helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of business. Guided by the principles set forth by major statistical and business science associations (ASA and DSI), plus the authors’ diverse experiences, the 8th Edition continues to innovate and improve the way this course is taught to all students. With new examples, case scenarios, and problems, the text continues its tradition of focusing on the interpretation of results, evaluation of assumptions, and discussion of next steps that lead to data-informed decision making. The authors feel that this approach, rather than a focus on manual calculations, better serves students in their future careers. This brief offering, created to fit the needs of a one-semester course, is part of the established Berenson/Levine series.

 

Also available with MyLab Business Statistics

By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student. For example, with Excel Projects students can organize, analyze, and interpret data, helping them hone their business decision-making skills.

Note: You are purchasing a standalone product; MyLab Business Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Business Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.

If you would like to purchase both the physical text and MyLab Business Statistics, search for:

 

0135860202 / 9780135860205 Business Statistics: A First Course Plus MyLab Statistics with Pearson eText — Access Card Package

 

Package consists of:

• 0135177782 / 9780135177785 Business Statistics: A First Course
• 0135443024 / 9780135443026 MyLab Statistics with Pearson eText — Standalone Access Card — for Business Statistics: A First Course

New and updated features of this title

• NEW: Online “First Things First” chapter uses real-world examples to show how developments like the increasing use of analytics and big data have made understanding stats that much more critical.
• 7 NEW and REVISED: Using Statistics business scenarios open each chapter, providing context for the concepts and showing how stats is used in key functional areas of business.
• UPDATED: Statistical software (JMP, Excel, and Minitab) instructions, guides, and output show students how to use these programs in decision making. Examples were written by the authors, who collectively have 100+ years of experience teaching the application of software to business.
• UPDATED: Tabular summaries now guide readers to reach conclusions and make decisions based on statistical information (Chs. 9 to 15).
• NEW: A brand-new Chapter 17, “Business Analytics” makes extensive use of JMP and Minitab to illustrate predictive analytics for prediction, classification, clustering, and association, etc.

For one-semester business statistics courses.

 

A focus on using statistical methods to analyze and interpret results to make data-informed business decisions

Statistics is essential for all business majors, and Business Statistics: A First Course helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of business. Guided by the principles set forth by major statistical and business science associations (ASA and DSI), plus the authors’ diverse experiences, the 8th Edition continues to innovate and improve the way this course is taught to all students. With new examples, case scenarios, and problems, the text continues its tradition of focusing on the interpretation of results, evaluation of assumptions, and discussion of next steps that lead to data-informed decision making. The authors feel that this approach, rather than a focus on manual calculations, better serves students in their future careers. This brief offering, created to fit the needs of a one-semester course, is part of the established Berenson/Levine series.

 

Also available with MyLab Business Statistics

MyLab™ is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student. For example, with Excel Projects students can organize, analyze, and interpret data, helping them hone their business decision-making skills. Learn more about MyLab Business Statistics.

Hallmark features of this title

• 5 guiding principles ensure students see the relevance of stats in their own careers, focus on interpreting data and analyzing results (vs. on manual calculations), get familiar with data analysis software, and receive clear program instructions.
• A Define, Collect, Organize, Visualize, and Analyze framework is used to help students solve business problems.
• A continuing Case throughout the text helps integrate learning across chapters and topics.
• Digital Cases let students examine interactive documents, sift through various claims, and discover conclusions and claims supported by the data.
• End-of-chapter problems test students’ ability to apply concepts to real business problems.

About our authors

David Levine, Professor Emeritus of Statistics and CIS at Baruch College, CUNY is a nationally recognized innovator in statistics education for more than 3 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, Kathryn Szabat 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 presentations.

Beyond the classroom she has provided statistical advice to numerous business, nonbusiness, and academic communities, with particular interest in the areas of education, medicine, and nonprofit capacity building. Her research activities have led to journal publications, chapters in scholarly books, and conference presentations. Szabat is a member of the American Statistical Association (ASA), DSI, Institute for Operation Research and Management Sciences (INFORMS), and DSI MSMESB. She received a BS from SUNY-Albany, an MS in statistics from the Wharton School of the University of Pennsylvania, and a PhD degree in statistics, with a cognate in operations research, from the Wharton School of the University of Pennsylvania.

Advances in computing have always shaped David Stephan’s professional life. As an undergraduate, he helped professors use statistics software that was considered advanced even though it could compute only several things discussed in Chapter 3, thereby gaining an early appreciation for the benefits of using software to solve problems (and perhaps positively influencing his grades). An early advocate of using computers to support instruction, he developed a prototype of a mainframe-based system that anticipated features found today in Pearson’s MathXL and served as special assistant for computing to the Dean and Provost at Baruch College.

In his many years teaching at Baruch, Stephan implemented the first computer-based classroom, helped redevelop the CIS curriculum, and, as part of a FIPSE project team, designed and implemented a multimedia learning environment. He was also nominated for teaching honors. Stephan has presented at the SEDSI conference and the DSI MSMESB mini-conferences, sometimes with his coauthors. Stephan earned a BA from Franklin & Marshall College and an MS from Baruch College, CUNY, and he studied instructional technology at Teachers College, Columbia University.

Additional information

Dimensions	1.10 × 8.40 × 10.80 in
Imprint	Pearson
Format	gen
ISBN-13	09780135177785
ISBN-10	0135177782
Author	David M. Levine, Kathryn A. Szabat, David F. Stephan
Subjects	statistics, mathematics, higher education, business statistics