Business statistics : a decision-making approach / David F. Groebner, Boise State University, Professor Emeritus of Production Management, Patrick W. Shannon, Boise State University, Dean of the College of Business and Economics, Phillip C. Fry, Boise State University, Professor, ITSCM Department Chair, Kent D. Smith, California Polytechnic University, Professor Eneritus of Statistics.

Contributor(s): Groebner, David F [author.] | Shannon, Patrick W [author.] | Fry, Phillip C [author.] | Smith, Kent D [author.]Material type: TextTextUpper Saddle River, N.J. : Prentice Hall/Pearson, 2011©2011 Edition: Eighth edition, International editionDescription: 936 pages : illustrations (chiefly color) ; 28 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 0136113508 (paperback)Subject(s): Commercial statistics | Statistical decisionLOC classification: HF1017 .B87 2011
Contents:
The where, why, and how of data collection -- Graphs, charts, and tables : describing your data -- Describing data using numerical measures -- Introduction to probability -- Discrete probability distributions -- Introduction to continuous probability distributions -- Introduction to sampling distributions -- Estimating single population parameters -- Introduction to hypothesis testing -- Estimation and hypothesis testing for two population parameters -- Hypothesis tests and estimation for population variances -- Analysis of variance -- Goodness-of-fit tests and contingency analysis -- Introduction to linear regression and correlation analysis -- Multiple regression analysis and model building -- Analyzing and forecasting time-series data -- Introduction to nonparametric statistics -- Introduction to quality and statistical process control.
Summary: For the 1 or 2 semester course in Business Statistics. This comprehensive, 17 chapter hardcover text builds student confidence by incorporating a step-by-step system for examples, exercises, and special review sections. This step-by-step framework allows students to learn by example, practice with extensive exercises that step-up in level of difficulty, and solidify their understanding of the concepts with special review sections as they prepare for their exams. It presents descriptive and inferential statistics with a rich assortment of business examples and real data with an emphasis on decision-making. There is emphasis on using statistical software as a tool, (featuring Excel and Minitab) with many examples presented in a software environment. A briefer version is also available called A Course in Business Statistics 4e.
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Books MEF Üniversitesi Kütüphanesi
Genel Koleksiyon HF 1017 .B87 2011 (Browse shelf (Opens below)) Available 0003759

Includes bibliographical references and index.

The where, why, and how of data collection -- Graphs, charts, and tables : describing your data -- Describing data using numerical measures -- Introduction to probability -- Discrete probability distributions -- Introduction to continuous probability distributions -- Introduction to sampling distributions -- Estimating single population parameters -- Introduction to hypothesis testing -- Estimation and hypothesis testing for two population parameters -- Hypothesis tests and estimation for population variances -- Analysis of variance -- Goodness-of-fit tests and contingency analysis -- Introduction to linear regression and correlation analysis -- Multiple regression analysis and model building -- Analyzing and forecasting time-series data -- Introduction to nonparametric statistics -- Introduction to quality and statistical process control.

For the 1 or 2 semester course in Business Statistics. This comprehensive, 17 chapter hardcover text builds student confidence by incorporating a step-by-step system for examples, exercises, and special review sections. This step-by-step framework allows students to learn by example, practice with extensive exercises that step-up in level of difficulty, and solidify their understanding of the concepts with special review sections as they prepare for their exams. It presents descriptive and inferential statistics with a rich assortment of business examples and real data with an emphasis on decision-making. There is emphasis on using statistical software as a tool, (featuring Excel and Minitab) with many examples presented in a software environment. A briefer version is also available called A Course in Business Statistics 4e.