Quantitative Methods for Decision Makers 6th edn

Quantitative Methods for Decision Makers 6th edn

by Wisniewski, Mik

Type Book
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Appealing both to students on introductory courses for quantitative methods and MBA students, this well-respected text provides an accessible introduction to an area that students often find difficult. As a manager, developing a good understanding of the business analysis techniques at your disposal is crucial. Knowing how and when to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Qua…

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Title Statements

  • Full title :Quantitative Methods for Decision Makers 6th edn.

Summary

Appealing both to students on introductory courses for quantitative methods and MBA students, this well-respected text provides an accessible introduction to an area that students often find difficult. As a manager, developing a good understanding of the business analysis techniques at your disposal is crucial. Knowing how and when to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Quantitative Methods for Decision Makers helps students to understand the relevance of quantitative me.

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Edition Statements

  • Publication Date:2016.

Publication Statements

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:1292112719, 9781292112718
  • oclc:ocn942842499
  • LC Classification:HD30.23
  • Dewey Decimal:658.4/033

Table of Contents

Cover -- Title Page -- Copyright Page -- Contents -- List of 'QMDM in Action' case studies -- Preface -- Acknowledgements -- Chapter 1 Introduction -- The Use of Quantitative Techniques by Business -- The Role of Quantitative Techniques in Business -- Models in Quantitative Decision Making -- Use of Computers -- Using the Text -- Summary -- Chapter 2 Tools of the Trade -- Learning objectives -- Some Basic Terminology -- Fractions, Proportions, Percentages -- Rounding and Significant Figures -- Common Notation -- Powers and Roots -- Logarithms -- Summation and Factorials

Equations and Mathematical Models -- Graphs -- Real and Money Terms -- Worked Example -- Summary -- Exercises -- Chapter 3 Presenting Management Information -- Learning objectives -- A Business Example -- Bar Charts -- Pie Charts -- Frequency Distributions -- Percentage and Cumulative Frequencies -- Histograms -- Frequency Polygons -- Ogives -- Lorenz Curves -- Time-Series Graphs -- Z Charts -- Scatter Diagrams -- General Principles of Graphical Presentation -- Worked Example -- Summary -- Exercises -- Chapter 4 Management Statistics -- Learning objectives -- A Business Example

Why Are Statistics Needed? -- Measu…

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