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

By: [Black Ken ].
Contributor(s): Groebner, David F.
Material type: materialTypeLabelBookPublisher: Upper Saddle River, N.J. : Prentice Hall/Pearson, c2010Edition: 8th ed.Description: xxiii, 912 p. : ill. (chiefly col.) ; 29 cm.ISBN: 9780136121015; 0136121012.Subject(s): Commercial statistics | Statistical decision
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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Item type Current location Collection Call number Status Notes Date due Item holds
General Circulation Books General Circulation Books Non-fiction HF1017.B53 2010 (Browse shelf) Available MA
Total holds: 0

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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