WebAssign for Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's Statistics for Business & Economics, Multi-Term Instant Access | 14th Edition

David R. Anderson/Dennis J. Sweeney/Thomas A. Williams/Jeffrey D. Camm/James J. Cochran/Michael J. Fry/Jeffrey W. Ohlmann
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Product cover for WebAssign for Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's Statistics for Business & Economics, Multi-Term Instant Access 14th Edition by David R. Anderson/Dennis J. Sweeney/Thomas A. Williams/Jeffrey D. Camm/James J. Cochran/Michael J. Fry/Jeffrey W. Ohlmann
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WebAssign for Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's Statistics for Business & Economics, Multi-Term Instant Access ISBN: 9780357031391
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About This Product

WebAssign is the complete teaching tool for Business Statistics. This flexible and fully customizable platform puts powerful tools in your hands. Deploy assignments, instantly assess individual student and class performance, and help your students master the course concepts. With WebAssign’s powerful digital platform and Statistics for Business & Economics' specific content, you can tailor your course with a wide range of assignment settings, add your own questions and content, and access student and course analytics and communication tools. Key Features: 1. 1000+ problems from the textbook are available for homework assignments in algorithmic forms. DATAfile problems from the textbook (alternate versions) are available for experience solving real world business problems. 2. Master It Tutorials (MI) show how to solve a similar problem in multiple steps by providing direction along with derivation so students understand the concepts and reasoning behind the problem solving. Watch It Videos and Read It links to the eBook are available as additional help resources for selected exercises. 3. Exploring Statistics Applet problems ask students to answer questions using linked interactive statistical applets. 70+ videos, developed by Dr. Ed Winkofsky at the U of Cincinnati, use these interactive teaching tools to help students better understand abstract statistics concepts.