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MindTap Business Statistics for Essentials of Modern Business Statistics with Microsoft® Excel® 6th Edition

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams

  • Published
Starting At 135.00 See pricing and ISBN options

Overview

MindTap™ Business Statistics for Anderson/Sweeney/Williams' Essentials of Modern Business Statistics with Microsoft® Excel®, 6th 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 thoughtfully 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 12 months of usage.

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.
  • Contol 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.
  • 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.
  • Create a unique learning path of relevant readings, multimedia and activities that move students up the learning taxonomy from basic knowledge and comprehension to analysis, application and critical thinking.
  • Integrate your own content into the MindTap Reader using your own documents or pull from sources like RSS feeds, YouTube videos, websites, googledocs and more.
  • Use powerful analytics and reports that provide a snapshot of class progress, time in course, engagement and completion.
  • Empower students with the information to know where they stand at all times – both individually and compared to the highest performers in class.
  • Help students stay organized and efficient with a single destination that reflects exactly what's important to you, the instructor.
  • Automatically grade assignments and quizzes.
  • 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.
1. Why Does This Matter?
2. Read section.
3. Quiz Yourself.
4. Guided Examples.
5. Show Me the Solution.
6. Practice.
7. Interpreting the Results.
MindTap
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

Recommended and most popular

  • ISBN-10: 1285867998
  • ISBN-13: 9781285867991
  • Bookstore Wholesale Price $135.00
  • RETAIL $135.00

Digital Access + Print — Flexible Value

Recommended and most popular

  • ISBN-10: 1305617231
  • ISBN-13: 9781305617230
  • Bookstore Wholesale Price $136.50
  • RETAIL $181.95

  • ISBN-10: 1337083178
  • ISBN-13: 9781337083171
  • Bookstore Wholesale Price $296.25
  • RETAIL $394.95

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MindTap Instructors Speak on Personalization - Diane

Instructor Diane Carter from the University of Idaho talks about how MindTap helps her personalize her course.

"MindTap's greatest strengths are the progress tracking and the ability to add [your own] materials that are gradable."

"I'm convinced that the higher course ratings and grades were, in large part, a result of students' engagement. It was an unmitigated success."

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

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