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

Contributor(s): Material type: TextTextPublication details: Upper Saddle River, N.J. : Prentice Hall/Pearson, c2011.Edition: 8th edDescription: 936 p. : ill. (chiefly col.) ; 29 cmISBN:
  • 9780136113508
  • 0136113508
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 Collection Call number Vol info Status Date due Barcode
Main Long Main Long Martin Oduor-Otieno Library This item is located on the library first floor Non-fiction HF1017 .G73 2011 (Browse shelf(Opens below)) 25415/12 Available MOOL12060644
Main Long Main Long Martin Oduor-Otieno Library This item is located on the library first floor Non-fiction HF1017 .G73 2011 (Browse shelf(Opens below)) 25416/12 Available MOOL12060645

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.

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