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

By: Contributor(s): Material type: TextTextPublication details: Upper Saddle River, N.J. : Pearson/Prentice Hall, 2005.Edition: 10th edDescription: p. cmISBN:
  • 0131968696
Subject(s): LOC classification:
  • HF1017 .B38 2005
Contents:
Introduction and data collection -- Presenting data in tables and charts -- Numerical descriptive measures -- Basic probability -- Some important discrete probability distributions -- The normal distribution and other continuous distributions -- Sampling distributions and sampling -- Confidence interval estimation -- Fundamentals of hypothesis testing: One sample tests -- Two-sample tests -- Analysis of variance -- Chi-squre tests and nonparametric tests -- Simple linear regression -- Introduction to multiple regression -- Multiple regression model building -- Time-series forecasting and index numbers -- Decision making -- Statistical applications in quality and productivity management.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Zetech Library - Nairobi City Campus Non-fiction HF1017, .B38 2005 (Browse shelf(Opens below)) C.1 Available Z007117
Books Books Zetech Library - Ruiru Campus General Stacks Non-fiction HF1017, .B38 2005 (Browse shelf(Opens below)) C.2 Available Z007129

Includes bibliographical references and index.

Introduction and data collection -- Presenting data in tables and charts -- Numerical descriptive measures -- Basic probability -- Some important discrete probability distributions -- The normal distribution and other continuous distributions -- Sampling distributions and sampling -- Confidence interval estimation -- Fundamentals of hypothesis testing: One sample tests -- Two-sample tests -- Analysis of variance -- Chi-squre tests and nonparametric tests -- Simple linear regression -- Introduction to multiple regression -- Multiple regression model building -- Time-series forecasting and index numbers -- Decision making -- Statistical applications in quality and productivity management.

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