Business statistics in practice

Business statistics in practice

by Bowerman, Bruce L.

Type Book
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Business Statistics in Practice, Seventh Edition provides a modern, practical and unique framework for teaching an introductory course in Business Statistics. The textbook employs realistic examples, continuing case studies and a business improvement theme to teach the material. The Seventh Edition features more concise and lucid explanations, an improved topic flow and a sensible use of the best and most compelling examples.

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Title Statements

  • Full title :Business statistics in practice / Bruce L. Bowerman, Miami University ; Richard T. O'Connell, Miami University ; Emily S. Murphree, Miami University.

Summary

Business Statistics in Practice, Seventh Edition provides a modern, practical and unique framework for teaching an introductory course in Business Statistics. The textbook employs realistic examples, continuing case studies and a business improvement theme to teach the material. The Seventh Edition features more concise and lucid explanations, an improved topic flow and a sensible use of the best and most compelling examples.

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Edition Statements

  • Publication Date:2014
  • Edition:Seventh edition

Publication Statements

  • Publisher(s):McGraw-Hill/Irwin
  • Place of Publication:New York, NY
  • Language:eng
  • Publication Date:2014

The Physical Object

  • Description:xxiii, 823 pages : : illustrations ; : 29 cm.

Edition Identifiers

  • ISBN:9780073521497, 0073521493, 9781259060397, 125906039X
  • oclc:ocn818985425
  • LC Classification:HF1017
  • Dewey Decimal:519.5024/65

Table of Contents

An introduction to business statistics -- Descriptive statistics: tabular and graphical methods -- Descriptive statistics: numerical methods -- Probability -- Discrete random variables -- Continuous random variables -- Sampling and sampling distributions -- Confidence intervals -- Hypothesis testing -- Comparing two means and two proportions -- Statistical inferences for population variances -- Experimental design and analysis of variance -- Chi-square tests -- Simple linear regression analysis -- Multiple regression and model building -- Time series forecasting and index numbers -- Process improvement using control charts -- Nonparametric methods -- Decision theory.

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