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Business statistics : a decision-making approach / David F. Groebner [and others].

By: Material type: TextTextPublisher: Boston ; Upper Saddle River, N.J. : Prentice Hall/Pearson, [2011]Copyright date: ©2011Edition: Eighth editionDescription: xxiii, 912 pages : illustrations (chiefly colour) ; 29 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0136121012
  • 9780136121015
Subject(s): DDC classification:
  • 519.5 22
LOC classification:
  • HF1017 .G73 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.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 519.5 BUS (Browse shelf(Opens below)) 1 Available A504663B

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.

Machine converted from AACR2 source record.

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