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Basic business statistics : concepts and applications / Mark L. Berenson, David M. Levine.

By: Contributor(s): Material type: TextTextPublication details: Upper Saddle River, N.J. : Prentice-Hall, c1999.Edition: 7th edDescription: xxvi, 1058, [56] p. : ill. (some col.) ; 26 cm. + 1 computer laser optical disc (4 3/4 in.)ISBN:
  • 9780130812544
Subject(s): LOC classification:
  • HF1017 .B38 1999
Contents:
Introduction -- Data collection -- Presenting data in tables and charts -- Summarizing and describing numerical data -- Basic probability -- Some important discrete probability distributions -- Decision making -- The normal distribution and other continuous distributions -- Sampling distributions -- Confidence interval estimation -- Fundamentals of hypothesis testing: One sample tests -- Two-sample tests with numerical data -- ANOVA and other c-sample tests with numerical data -- Two-sample and c-sample tests with categorical data -- Statistical applications in quality and productivity management -- Simple linear regression and correlation -- Introduction to multiple regression -- Multiple regression model building -- Time-series analysis.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Zetech Library - Mang'u Campus General Stacks Non-fiction HF1017.B38 1999 (Browse shelf(Opens below)) C.1 Checked out 04/05/2025 Z006733
Books Books Zetech Library - Nairobi City Campus General Stacks Non-fiction HF1017.B38 1999 (Browse shelf(Opens below)) C1 Available Z005130
Books Books Zetech Library - Ruiru Campus General Stacks Non-fiction HF1017.B38 1999 (Browse shelf(Opens below)) C.4 Available Z007050
Books Books Zetech Library - Ruiru Campus General Stacks Non-fiction HF1017.B38 1999 (Browse shelf(Opens below)) C.1 Available Z006732

Includes index.

Introduction -- Data collection -- Presenting data in tables and charts -- Summarizing and describing numerical data -- Basic probability -- Some important discrete probability distributions -- Decision making -- The normal distribution and other continuous distributions -- Sampling distributions -- Confidence interval estimation -- Fundamentals of hypothesis testing: One sample tests -- Two-sample tests with numerical data -- ANOVA and other c-sample tests with numerical data -- Two-sample and c-sample tests with categorical data -- Statistical applications in quality and productivity management -- Simple linear regression and correlation -- Introduction to multiple regression -- Multiple regression model building -- Time-series analysis.

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