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Business statistics : a decision-making approach / David F. Groebner ... [et al.].

Contributor(s): Groebner, David F.
Publisher: Upper Saddle River, N.J. : Prentice Hall/Pearson, c2011Edition: 8th ed.Description: xxiii, 912 p. : ill. (chiefly col.) ; 29 cm.ISBN: 9780136121015 (hbk.); 0136121012 (hbk.).Subject(s): Commercial statistics | Statistical decisionDDC classification: 519.5
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.
Item type Current location Shelf location Call number Copy number Status Notes Date due Barcode
Main Collection Taylor's Library-TU

Floor 4, Shelf 15 , Side 2, TierNo 4, BayNo 2

 519.5 BUS 2011 (Browse shelf) 1 Available TBSxx,34001,03,CL 5000115589

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.