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Quantitative methods for business decisions /

By: Curwin, Jon.
Contributor(s): Slater, Roger | Eadson, David.
Publisher: Andover, Hampshire, UK: Cengage Learning, 2013Edition: 7th edition.Description: xv, 604 pages : illustrations ; 25 cm.Content type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781408060193; 9781408060193:; 1408064987 (paperback); 9781408064986 (paperback).Subject(s): Decision making | Decision making -- Mathematical models | Quantitative research | Mathematical statistics | Business mathematics | Industrial management -- Mathematical models | Statistics | Commercial statisticsDDC classification: 658.4033
Contents:
Preface -- List of mini cases -- About the authors -- About the digital resources -- Walk through tour -- Mathematical background -- Part one : understanding quantitative information -- Part two : decribing data -- Part three : measuring uncertainty -- Part four : using statistical inference -- Part five : relating variables and predicting outcomes -- Online contents -- Part six : modelling -- Part seven : mathematical topics -- Part eight : student guides -- Appendices -- Answers section -- Glosssary -- Statistics formula sheet -- Index.
Summary: Using a rigorous exercise-based approach, this title provides in-depth guidance on how to apply to most widely-used statistical methods in business. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, accounting, finance and public administration.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Standard Loan Standard Loan ATU Sligo Yeats Library 658.4033 CUR (Browse shelf(Opens below)) Available 0064443
Standard Loan Standard Loan ATU Sligo Yeats Library Main Lending Collection 658.4033 CUR (Browse shelf(Opens below)) 1 Available 0064483
Total holds: 0

Includes index.

Preface -- List of mini cases -- About the authors -- About the digital resources -- Walk through tour -- Mathematical background -- Part one : understanding quantitative information -- Part two : decribing data -- Part three : measuring uncertainty -- Part four : using statistical inference -- Part five : relating variables and predicting outcomes -- Online contents -- Part six : modelling -- Part seven : mathematical topics -- Part eight : student guides -- Appendices -- Answers section -- Glosssary -- Statistics formula sheet -- Index.

Using a rigorous exercise-based approach, this title provides in-depth guidance on how to apply to most widely-used statistical methods in business. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, accounting, finance and public administration.

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