Higher Education

MindTap® Business Statistics, 2 terms (12 months) Instant Access for Anderson/Sweeney/Williams/Camm/Cochran's Statistics for Business & Economics, Revised, 12th Edition

  • David R. Anderson University of Cincinnati
  • Dennis J. Sweeney University of Cincinnati
  • Thomas A. Williams Rochester Institute of Technology
  • Jeffrey D. Camm Wake Forest University
  • James J. Cochran University of Alabama
  • ISBN-10: 1305104854  |  ISBN-13: 9781305104853
  • Prior Releases: 2014
  • © 2015 | Published
  • College Bookstore Wholesale Price = $140.00
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About

Overview

MindTap™ Business Statistics for Anderson/Sweeney/Williams/Camm/Cochran's Statistics for Business and Economics, Revised, 12th 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. Built with student workflow and course needs in mind, MindTap Business Statistics helps your students learn to make informed, data-driven decisions. MindTap engages students in course concepts with videos that highlight the content’s relevance, provides meaningful animated examples and practice opportunities, and includes simulations that teach students to interpret data to make sound 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.

Features and Benefits

  • 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.
  • 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 of all homework and quizzes.

Content and Assets

The MindTap Learning Path guides students through readings, multimedia, and activities designed to follow the learning taxonomy from basic knowledge and comprehension up to analysis and application. By hiding, rearranging, or adding your own content, you control what students see and when they see it and match the Learning Path to your course syllabus exactly.


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.

Alternate Formats

Choose the format that best fits your student's budget and course goals

To customize your learning solution, contact your Learning Consultant for more information.

  • Printed Access Card

    ISBN-10: 1305104862 | ISBN-13: 9781305104860

    List Price = $140.00  | College Bookstore Wholesale Price = $105.00

Learning Resource Bundles

Choose the textbook packaged with the resources that best meet your course and student needs. Contact your Learning Consultant for more information.

ePack: Statistics for Business & Economics, Revised, Loose-leaf Version, 12th + MindTap® Business Statistics, 2 terms (12 months) Instant Access

ISBN-10: 1305778413  | ISBN-13: 9781305778412

List Price = $185.95  | CengageBrain Price = $185.95  | College Bookstore Wholesale Price = $140.00

This Bundle Includes:

  • Statistics for Business & Economics, Revised, Loose-leaf Version
    List Price = $226.95  | CengageBrain Price = $226.95  | College Bookstore Wholesale Price = $170.25
  • MindTap® Business Statistics, 2 terms (12 months) Instant Access for Anderson/Sweeney/Williams/Camm/Cochran's Statistics for Business & Economics, Revised
    List Price = $140.00  | CengageBrain Price = $140.00  | College Bookstore Wholesale Price = $140.00


Bundle: Statistics for Business & Economics, Revised, Loose-leaf Version, 12th + MindTap® Business Statistics, 2 terms (12 months) Printed Access Card

ISBN-10:  1305424786  | ISBN-13:  9781305424784

List Price = $185.95  | College Bookstore Wholesale Price = $140.00

This Bundle Includes:

  • Statistics for Business & Economics, Revised, Loose-leaf Version
    List Price = $226.95  | CengageBrain Price = $226.95  | College Bookstore Wholesale Price = $170.25
  • MindTap® Business Statistics, 2 terms (12 months) Printed Access Card
    List Price = $140.00  | College Bookstore Wholesale Price = $105.00


Bundle: Statistics for Business & Economics, Revised, Loose-leaf Version, 12th + MiniTab, 2 terms (12 months) Printed Access Card for Statistics for Business & Economics + MindTap® Business Statistics, 2 terms (12 months) Printed Access Card

ISBN-10:  1305789229 | ISBN-13:  9781305789227

List Price = $200.95  | College Bookstore Wholesale Price = $151.25

This Bundle Includes:

  • Statistics for Business & Economics, Revised, Loose-leaf Version
    List Price = $226.95  | CengageBrain Price = $226.95  | College Bookstore Wholesale Price = $170.25
  • MiniTab, 2 terms (12 months) Printed Access Card
    List Price = $15.00  | College Bookstore Wholesale Price = $11.25
  • MindTap® Business Statistics, 2 terms (12 months) Printed Access Card
    List Price = $140.00  | College Bookstore Wholesale Price = $105.00


Meet the Author

Author Bio

David R. Anderson

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

Dr. Dennis J. Sweeney is a 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, he has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor 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 journals. Dr. Sweeney is the coauthor 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 BS degree from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow.

Thomas A. Williams

Dr. Thomas A. Williams is Professor 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 teaches courses in management science and statistics, as well as graduate courses in regression and decision analysis. Before joining the College of Business at RIT, Professor 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 then served as its coordinator. The co-author of 11 leading textbooks in the areas of management science, statistics, production and operations management, and mathematics, Professor 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

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 (Ohio) and a Ph.D. from Clemson University. Prior to joining the faculty at Wake Forest, he was 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 over 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.

James J. Cochran

James J. Cochran is Professor of Applied Statistics and the Rogers-Spivey Faculty Fellow in the Department of Information Systems, Statistics and Management Science at the University of Alabama. He previously served as Professor of Quantitative Analysis and the Bank of Ruston, Barnes, Thompson, & Thurman Endowed Research Professor at Louisiana Tech University and was a visiting scholar at Stanford University, Universidad de Talca, and the University of South Africa. Professor Cochran has published more than two dozen papers in the development and application of operations research and statistical methods, and his research has appeared in MANAGEMENT SCIENCE, THE AMERICAN STATISTICIAN, COMMUNICATIONS IN STATISTICS--THEORY AND METHODS, EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, JOURNAL OF COMBINATORIAL OPTIMIZATION, and other professional journals. He received the 2008 INFORMS Prize for the Teaching of Operations Research Practice and the 2010 Mu Sigma Rho Statistical Education Award. Dr. Cochran was elected to the International Statistics Institute in 2005 and named a Fellow of the American Statistical Association in 2011. A strong advocate for effective operations research and statistics education as a means of improving the quality of applications to real problems, he has organized and chaired teaching effectiveness workshops in Uruguay, South Africa, Colombia, India, Argentina, Kenya, Cameroon, and Croatia. He has served as a statistics and operations research consultant to numerous companies and not-for-profit organizations. He was editor-in-chief of INFORMS TRANSACTIONS ON EDUCATION from 2007 to 2012 and serves on the editorial board of INTERFACES, the JOURNAL OF QUANTITATIVE ANALYSIS IN SPORTS, and ORION. He holds a B.S., M.S., and MBA from Wright State University and a Ph.D. from the University of Cincinnati.