Statistical thinking and data analysis methods for managers / Wynn Anthony Abranovic.

By: Abranovic, Wynn AnthonyPublisher: [S.l.] : Pearson Education, 1997Edition: Har/Dis edDescription: 950 p. ; 25 cmISBN: 0673992969; 9780673992963Subject(s): Science/Mathematics | Science & Mathematics: Textbooks & Study Guides | Business Statistics | Business mathematics | Business mathematics & systems | Probability & statistics | Mathematics | Data processing | Industrial management | Minitab for Windows | Statistical methods | Business & Economics / Statistics | Mathematics / Probability & Statistics / General | Probability & Statistics - General | StatisticsDDC classification: 519.5 Online resources: Amazon.com | Amazon customer reviews Summary: Statistics can't be over simplified, but it can be clarified and made fun to learn. Abranovic was inspired by his own students' positive reactions to create a textbook that succeeds by encouraging self-study, presenting new concepts in bitesize chunks, and moving the learner enjoyably toward active statistical analysis. Statistical Thinking and Data Analysis Methods for Managers includes data sets on diskettes and employs up-to-date Exploratory Data Analysis (EDA) tools, such as stem-and-leaf diagrams and box plots, without Sacrificing traditional methods and intellectual rigor. Designed for introductory courses and adaptable to graduate study, the text diminishes the need for spending classroom time on computational formulas. With its strong approach and use of global examples throughout, it will appeal to those who want heavy problem use and international applications.
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Item type Current location Home library Call number Status Date due Barcode Item holds
Book Book Central Library (CL)
Central Library (CL)
519.5 ABR (Browse shelf) Available NBS2349
Book Book Central Library (CL)
Central Library (CL)
519.5 ABR (Browse shelf) Available NBS2348
Book Book Central Library (CL)
Central Library (CL)
519.5 ABR (Browse shelf) Available NBS2350
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Hardcover.

Statistics can't be over simplified, but it can be clarified and made fun to learn. Abranovic was inspired by his own students' positive reactions to create a textbook that succeeds by encouraging self-study, presenting new concepts in bitesize chunks, and moving the learner enjoyably toward active statistical analysis. Statistical Thinking and Data Analysis Methods for Managers includes data sets on diskettes and employs up-to-date Exploratory Data Analysis (EDA) tools, such as stem-and-leaf diagrams and box plots, without Sacrificing traditional methods and intellectual rigor. Designed for introductory courses and adaptable to graduate study, the text diminishes the need for spending classroom time on computational formulas. With its strong approach and use of global examples throughout, it will appeal to those who want heavy problem use and international applications.

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