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Quantitative analysis for decision makers, 7th edition (formerly known as quantitative methods for decision Makers) PDF ebook.

By: Wisniewski, MikContributor(s): Shafti, FarhadMaterial type: TextTextPublisher: Harlow : Pearson Education, Limited, 2019Copyright date: ©2020Edition: 7th editionDescription: 1 online resource (607 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781292276632Subject(s): Decision making-Mathematical modelsAdditional physical formats: Print version:: Quantitative Analysis for Decision Makers, 7th Edition (formerly Known As Quantitative Methods for Decision Makers) PDF EbookDDC classification: 658.4033 LOC classification: HD30.23 .W576 2020Online access: Open e-book
Contents:
Front Cover -- Title Page -- Copyright Page -- Contents -- List of 'QADM in action' case studies -- Preface -- Publisher's acknowledgements -- 1 Introduction -- The use of quantitative techniques by business -- The role of quantitative analysis in business -- Models in quantitative decision making -- Use of computers -- Using the text -- Summary -- 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 -- 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 -- Radar charts -- Which chart to use -- General principles of graphical presentation -- Worked example -- Summary -- Exercises -- 4 Management Statistics -- Learning objectives -- A business example -- Why are management statistics needed? -- Measures of average -- Measures of variability -- Using the statistics -- Calculating statistics for aggregated data -- Index numbers -- Worked example -- Summary -- Exercises -- 5 Probability and Probability Distributions -- Learning objectives -- Terminology -- The multiplication rule -- The addition rule -- A business application -- Probability distributions -- The binomial distribution -- The normal distribution -- Worked example -- Summary -- Exercises -- 6 Decision Making Under Uncertainty -- Learning objectives -- The decision problem -- The maximax criterion -- The maximin criterion -- The minimax regret criterion.
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Front Cover -- Title Page -- Copyright Page -- Contents -- List of 'QADM in action' case studies -- Preface -- Publisher's acknowledgements -- 1 Introduction -- The use of quantitative techniques by business -- The role of quantitative analysis in business -- Models in quantitative decision making -- Use of computers -- Using the text -- Summary -- 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 -- 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 -- Radar charts -- Which chart to use -- General principles of graphical presentation -- Worked example -- Summary -- Exercises -- 4 Management Statistics -- Learning objectives -- A business example -- Why are management statistics needed? -- Measures of average -- Measures of variability -- Using the statistics -- Calculating statistics for aggregated data -- Index numbers -- Worked example -- Summary -- Exercises -- 5 Probability and Probability Distributions -- Learning objectives -- Terminology -- The multiplication rule -- The addition rule -- A business application -- Probability distributions -- The binomial distribution -- The normal distribution -- Worked example -- Summary -- Exercises -- 6 Decision Making Under Uncertainty -- Learning objectives -- The decision problem -- The maximax criterion -- The maximin criterion -- The minimax regret criterion.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2021. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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