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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.Description: xix, 912 p. : ill. (chiefly col.) ; 29 cmISBN:
  • 9780136121015
  • 0136121012
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 Barcode
Books in General collection Books in General collection Mzuzu University Library and Learning Resources Centre HF 1017 BUS 2011 (Browse shelf(Opens below)) 022243 Available MzULM-022243

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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