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MindTap Business Statistics with XLSTAT for Statistics for Business & Economics 13th Edition

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran

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Starting At 135.00 See pricing and ISBN options

Overview

MINDTAP® PROVIDES STUDENTS WITH TOOLS FOR BETTER TIME MANAGEMENT. Students can complete assignments whenever and wherever they are ready to learn with course material specially customized by you and streamlined in one proven, easy-to-use interface. MindTap® gives students a roadmap to master decision-making in business statistics. Its vast array of resources, tools, and apps -- including all new Excel Online activities powered by Microsoft, new Exploring Statistics interactive visualizations, problem-solving videos, animated examples and practice opportunities, Interpreting the Results assignments note taking, and flashcards -- ensures learners have everything they need to maximize course success.

David R. Anderson, University of Cincinnati

Dr. David R. Anderson is a textbook author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He has served as head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. He was also coordinator of the College’s first Executive Program. In addition to introductory statistics for business students, Dr. Anderson has taught graduate-level courses in regression analysis, multivariate analysis, and management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. Professor Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the coauthor of ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University.

Dennis J. Sweeney, University of Cincinnati

Dr. Dennis J. Sweeney is a leading textbook author, Professor Emeritus of Quantitative Analysis, and founder of the Center for Productivity Improvement at the University of Cincinnati. He also served five years as head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration. In addition, Dr. Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Dr. Sweeney has published more than 30 articles in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger, and Cincinnati Gas & Electric have funded his research, which has been published in Management Science, Operations Research, Mathematical Programming, Decision Sciences, and other respected journals. Dr. Sweeney is the co-author of ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. Born in Des Moines, Iowa, he earned a B.S. degree from Drake University, graduating summa cum laude. He received his M.B.A. and D.B.A. degrees from Indiana University, where he was an NDEA Fellow.

Thomas A. Williams, Rochester Institute of Technology

Dr. Thomas A. Williams is a well respected textbook author and Professor Emeritus of Management Science in the College of Business at Rochester Institute of Technology, where he was the first chairman of the Decision Sciences Department. He taught courses in management science and statistics, as well as graduate courses in regression and decision analysis. Before joining the College of Business at RIT, Dr. Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the undergraduate program in Information Systems and served as its coordinator. The co-author of 11 leading textbooks in the areas of management science, statistics, production and operations management, and mathematics, Dr. Williams has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of data analysis to the development of large-scale regression models. He earned his B.S. degree at Clarkson University and completed his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D. degrees.

Jeffrey D. Camm, Wake Forest University

Jeffrey D. Camm is the Inmar Presidential Chair and Associate Dean of Analytics in the School of Business at Wake Forest University. Born in Cincinnati, Ohio, he holds a B.S. from Xavier University in Ohio, and a Ph.D. from Clemson University. Prior to joining the faculty at Wake Forest, he served on the faculty of the University of Cincinnati. He has also been a visiting scholar at Stanford University and a visiting professor of business administration at the Tuck School of Business at Dartmouth College. Dr. Camm has published more than 30 papers in the general area of optimization applied to problems in operations management and marketing. He has published his research in Science, Management Science, Operations Research, Interfaces, and other professional journals. Dr. Camm was named the Dornoff Fellow of Teaching Excellence at the University of Cincinnati and he was the 2006 recipient of the INFORMS Prize for the Teaching of Operations Research Practice. A firm believer in practicing what he preaches, he has served as an operations research consultant to numerous companies and government agencies. From 2005 to 2010 he served as editor-in-chief of Interfaces and has also served on the editorial board of INFORMS Transactions on Education.

James J. Cochran, University of Alabama

James J. Cochran is Professor of Applied Statistics and the Rogers-Spivey Faculty Fellow at the University of Alabama. Born in Dayton, Ohio, he earned his B.S., M.S., and M.B.A. degrees from Wright State University and a Ph.D. from the University of Cincinnati. He has been at the University of Alabama since 2014 and has been a visiting scholar at Stanford University, Universidad de Talca, the University of South Africa and Pole Universitaire Leonard de Vinci.
  • MindTap helps streamline your workflow with carefully curated content and a unique set of tools saving you valuable time in your course preparations. In addition, automatically grades assignments and quizzes while also providing students with instant feedback on their work.
  • Provide students with organizational and study tools designed to better manage their limited time, allowing them to complete assignments whenever and wherever they are ready to learn.
  • Save students money in their course materials with a single destination that reflects exactly what’s important to you, the instructor.
  • Track students in real time with the Progress app adjust the course as needed based analytics of interactivity in the course.
  • With the MindTap Mobile App, you can keep your students informed of assignments, course due dates, or any changes to your course while also arming them with on-the-go study tools like flashcards and quizzing.
  • Build and personalize your course by integrating your own content into the MindTap Reader using your own documents or pull from sources like RSS feeds, YouTube videos, websites, Google Docs and more. Control what content students see and when they see it with a learning path that can be used as-is or matched to your syllabus exactly.
  • Empower students with the information to know where they stand at all times—both individually and compared to the highest performers in class within the student view of the Progress App.
  • Engage students with course material specially customized for them by you streamlined in one proven, easy-to-use interface.
WHY DOES THIS MATTER? This one-minute intro video is designed to pique students’ interest by showing them how real companies use the statistical methods covered in the chapter to help them make informed decisions.

SECTION APPROACH WITH MEDIA-RICH ASSETS & PRACTICE: Students report that they’re more likely to read or skim material when it’s broken into more manageable chunks for them. Each chapter’s content is broken out into digestible sections in the learning path, which mirrors the structure of the Anderson/Sweeney/Williams titles. The sections can contain readings, embedded self-check quizzing, animated examples for more visual learners, and Show Me the Solution videos that align with Self-Test problems from the book. Each section concludes with opportunities for practice with problems crafted to enhance the progression of learning. These non-graded practice assignments include rich feedback and offer multiple attempts with algorithmic content.

MICROSOFT EXCEL ONLINE: Cengage Learning and Microsoft have partnered in MindTap to provide students with a uniform, authentic Excel experience. It provides instant feedback, built-in video tips, and easily accessible spreadsheet work. These new algorithmic activities offer pre-populated data directly in Microsoft Excel Online. Each student receives their own version of the problem to perform the necessary data calculations in Excel Online. Their work is constantly saved in Cengage cloud storage as a part of homework assignments in MindTap. These features allow you to spend more time teaching business statistics applications, and less time troubleshooting Excel.

EXPLORING STATISTICS: These offer instructors and students nearly 75 interactive visualizations that engage with ‘lean forward’ interactivity. Built using D3.js, a Javascript library that produces dynamic data visualizations in modern web browsers, Exploring Statistics offers instructors visual, interactive tools that they can use to help students ‘see’ the statistical concept being presented directly within MindTap. Select visualizations have a pre-built activity in the learning path within MindTap that allows students to manipulate the values, and then respond to questions that reinforce their understanding of the concept being conveyed. These activities can be assigned as practice or for a grade, and often offer an interactive, conceptual activity immediately following a reading section.

QUIZZING & ASSIGNMENTS: Once students have had the opportunity to practice what they’ve learned in each section, they tie it all together and complete a multiple-choice, chapter-level quiz to pinpoint areas of strength and weakness. The learning path then progresses to the chapter-level graded homework assignment. This assignment includes selected problems from the book’s end-of-chapter materials and offers a mix of evaluating both methods and application.

INTERPRETING THE RESULTS: For students, seeing the relevance of what they’re learning to the real world of business helps them stay more engaged in what they’re learning. Instructors also report that they’d like to see students be able to bridge the gap between understanding calculations and being able to use data to make informed business decisions. To close each chapter, the last item in the chapter learning path asks students to do just that – interpret data in order to make business decisions. Using the same company example introduced in the chapter’s opening video, this decision-making assignment puts students in an environment that requires them to interpret and make decisions based on the data provided in the company scenario. This activity brings the learning path full circle and helps students make a connection to how the study of business statistics applies to the real world of business.
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Each MindTap product offers the full, mobile-ready textbook combined with superior and proven learning tools at one affordable price. Students who purchase digital access can add a print option at any time when a print option is available for their course.

This Cengage solution can be seamlessly integrated into most Learning Management Systems (Blackboard, Brightspace by D2L, Canvas, Moodle, and more) but does require a different ISBN for access codes. Please work with your Cengage Learning Consultant to ensure the proper course set up and ordering information. For additional information, please visit the LMS Integration site.

Standalone Digital Access — Ultimate Value

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  • ISBN-10: 1305948025
  • ISBN-13: 9781305948020
  • Bookstore Wholesale Price $135.00
  • RETAIL $135.00

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