Nelson Higher Education

Higher Education

MindTap Business Statistics, 1 term (6 months) Instant Access for Anderson/Sweeney/Williams' Modern Business Statistics with Microsoft® Excel®, 5th Edition

  • David R. Anderson
  • Dennis J. Sweeney
  • Thomas A. Williams
  • ISBN-10: 1305579704
  • ISBN-13: 9781305579705
  • Mixed Media
  • COPYRIGHT: 2015 Published
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About the Product

MindTap Business Statistics for Anderson/Sweeney/Williams' Modern Business Statistics with Microsoft® Excel®, 5th Edition is the digital learning solution that helps instructors engage and transform today's students into critical thinkers. Through paths of dynamic assignments and applications that you can personalize, real-time course analytics, and an accessible reader, MindTap helps you turn cookie cutter into cutting edge, apathy into engagement, and memorizers into higher-level thinkers. MindTap Business Statistics helps your students learn to make informed, data-driven decisions. MindTap lays out assets in a unique learning path designed to address each point in the learning process -- engaging students in course concepts with videos that highlight the content's relevance, providing meaningful animated examples and practice opportunities, and using simulations to teach students to interpret data to make business decisions. MindTap ultimately gives students a roadmap to successfully master decision-making in business statistics -- and allows you to assess their analytical skills with confidence. Access to this product is valid for 6 months of usage. Attention: This MindTap contains Flash-based content. Due to the year-end retirement of Adobe Flash, we will no longer support this unique digital solution after November 30th. Please contact your Cengage Sales Representative to find an alternative Flash free MindTap.


  • Seamlessly deliver appropriate content and technology assets from a number of providers to students, as they need them.

  • Break course content down into movable objects to promote personalization, encourage interactivity and ensure student engagement.

  • Customize the course – from tools to text – and make adjustments 'on the fly,' making it possible to intertwine breaking news into their lessons and incorporate today's teachable moments.

  • Bring interactivity into learning through the integration of multimedia assets (apps from Cengage Learning and other providers), numerous in-context exercises and supplements, student engagement will increase leading to better student outcomes.

  • Track students' use, activities and comprehension in real-time, which provides opportunities for early intervention to influence progress and outcomes. Grades are visible and archived so students and instructors always have access to current standings in the class.

  • Assess knowledge throughout each section: after readings, in activities, homework, and quizzes.

  • Automatically grade all homework and quizzes.


"Almost across the board, students using MindTap improved on the main learning objectives of the class ...I've never seen any results like this."
— Carey Roberts, Arkansas Technology University

About the Author

David R. Anderson

Dr. David R. Anderson is a leading 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. Dr. Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the co-author of ten well-respected 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 B.S., M.S., and Ph.D. degrees from Purdue University.

Dennis J. Sweeney

Dennis J. Sweeney is Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned a BSBA degree from Drake University and his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow. Professor Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney served as Head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration at the University of Cincinnati. Professor Sweeney has published more than 30 articles and monographs 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 journals. Professor Sweeney has co-authored ten textbooks in the areas of statistics, management science, linear programming and production and operations management.

Thomas A. Williams


Table of Contents

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.

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.