Applied Statistics in Business and Economics / Edition 4

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Overview

The 4th Edition of Applied Statistics in Business & Economics provides real meaning to the use of statistics in real world by using real business situations and real data while appealing students to know why rather than just the how. Four distinct objectives have been met to follow this premise:

  • Objective 1: Communicate the Meaning of Variation in a BusinessContext
  • Objective 2: Use Real Data and Real Business Applications
  • Objective 3: Incorporate Current Statistical Practices and Offer Practical Advice
  • Objective 4: Provide More In-Depth Explanation of the Why and Let the Software Take Care of the How The emphasis of the 4th edition remains the same: thinking about data, choosing appropriate analytic tools, using computers effectively, and recognising limitations of statistics.
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Product Details

  • ISBN-13: 9780073521480
  • Publisher: McGraw-Hill Higher Education
  • Publication date: 1/9/2012
  • Edition number: 4
  • Pages: 864
  • Sales rank: 299,849
  • Product dimensions: 8.80 (w) x 11.00 (h) x 1.30 (d)

Meet the Author

David P. Doane is Professor of Quantitative Methods in Oakland University's Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas in 1966 and his PhD from Purdue University's Krannert Graduate School in 1969. His research and teaching interests include applied statistics, forecasting, and statistical education. He is co-recipient of three National Science Foundation grants to develop software to teach statistics and to create a computer classroom. He is a long-time member of the American Statistical Association and INFORMS, serving in 2002 as President of the Detroit ASA chapter, where he remains on the board. He has consulted with government, health care organizations, and local firms. He has published articles in many academic journals and is the author of LearningStats (McGraw-Hill, 2003, 2007) and co-author of Visual Statistics (McGraw-Hill, 1997, 2001).

Lori E. Seward is a Senior Instructor of Systems in the Leeds School of Business at the University of Colorado—Boulder. She earned her Bachelor of Science and Master of Science degrees in Industrial Engineering at Virginia Tech in 1984 and 1985. After several years working as a reliability and quality engineer in the paper and automotive industries she earned her PhD from Virginia Tech in 1998. She joined the Leeds faculty in 1998. Her teaching interests include applied statistics, quality management, and supply chain management and she has taken the lead in using advanced technology tools for enhancing the classroom and learning experience in large lecture courses. She served as the Chair of the INFORMS Teachers'Workshop for the annual 2004 meeting. Her most recent article was published in The InternationalJournal of Flexible Manufacturing Systems (Kluwer Academic Publishers, 2004).

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Table of Contents

Chapter One Overview of StatisticsChapter Two Data CollectionChapter Three Describing Data VisuallyChapter Four Descriptive StatisticsChapter Five ProbabilityChapter Six Discrete Probability DistributionsChapter Seven Continuous DistributionsChapter Eight Sampling Distributions and EstimationChapter Nine One Sample Hypothesis TestsChapter Ten Two Sample Hypothesis TestsChapter Eleven Analysis of VarianceChapter Twelve Simple RegressionChapter Thirteen Multiple RegressionChapter Fourteen Time Series AnalysisChapter Fifteen Chi-Square TestsChapter Sixteen Nonparametric TestsChapter Seventeen Quality Management

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