MTU Library Catalogue

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Quantitative methods for business decisions / Jon Curwin, Roger Slater, David Eadson.

By: Curwin, Jon [author.].
Contributor(s): Slater, Roger [author.] | Eadson, David [author.].
Material type: materialTypeLabelBookPublisher: Andover, Hampshire : Cengage Learning EMEA, 2013Edition: Seventh edition.Description: xv, 604 pages : color illustrations ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781408060193.Subject(s): Mathematical statistics | Decision making -- Mathematical models | Industrial management -- Mathematical models | Commercial statisticsDDC classification: 658.4033
Contents:
Mathematical background -- Basic mathematics -- Financial mathematics -- Part One: Understanding quantitative information -- The quantitative approach -- Managing data -- Survey methods -- Part Two: Describing data -- Presentation of data -- Measures of location -- Measures of dispersion -- Index numbers -- Part Three: Measuring uncertainty -- Probability -- Discrete probability distributions -- The normal distribution -- Part Four: Using statistical inference -- Samples, estimation and confidence intervals -- Significance testing -- Non-parametric tests -- Part Five: Relating variables and predicting outcomes -- Correlation and simple regression analysis -- Multiple regression analysis -- Time series -- Part Six: Modelling -- Linear programming -- Networks -- Modelling stock control and queues -- Simulation -- Game theory -- Factor analysis -- Part Seven: Mathematical topics -- Matrices -- Use of calculus -- Part Eight: Student guides -- Guide to creative problem solving -- Guide to EXCEL -- Guide to SPSS -- Guide to project management software -- Guide to writing and reporting statistics.
Summary: This established and popular text is regarded as one of the clearest and most comprehensive in its field. David Eadson has joined Jon Curwin and Roger Slater in the author team, and together they have sought to offer a more compact book with all the qualities of the previous six editions, whilst strengthening the links to online support materials. The new edition has been enhanced to reflect the latest learning plans and techniques, providing students with all the tools they need to pass the typical Quantitative Methods course. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, finance, and public administration, to appeal to students across the business spectrum. Whilst all core material is covered in the book itself, the online offering has been bolstered to include Parts 6-8 covering \'Modelling\', \'Mathematical Topics\' and \'Student Guides\' respectively, in addition to a wide range of other resources including datasets and extra learning tools. Visual signposts throughout the text guide the student to the online platform to provide a seamless interaction between the two this providing a multi-faceted learning experience. The wide-ranging coverage provided makes this the ideal text for the teaching of quantitative methods across all business disciplines at undergraduate, MBA, and post-experience levels.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 658.4033 (Browse shelf(Opens below)) 1 Available 00134202
General lending MTU Bishopstown Library Lending 658.4033 (Browse shelf(Opens below)) 1 Available 00134203
General lending MTU Bishopstown Library Lending 658.4033 (Browse shelf(Opens below)) 1 Available 00163489
General lending MTU Bishopstown Library Lending 658.4033 (Browse shelf(Opens below)) 1 Available 00170259
Total holds: 0

Enhanced descriptions from Syndetics:

This established and popular text is regarded as one of the clearest and most comprehensive in its field. David Eadson has joined Jon Curwin and Roger Slater in the author team, and together they have sought to offer a more compact book with all the qualities of the previous six editions, whilst strengthening the links to online support materials.The new edition has been enhanced to reflect the latest learning plans and techniques, providing students with all the tools they need to pass the typical Quantitative Methods course. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, finance, and public administration, to appeal to students across the business spectrum.Whilst all core material is covered in the book itself, the online offering has been bolstered to include Parts 6-8 covering 'Modelling', 'Mathematical Topics' and 'Student Guides' respectively, in addition to a wide range of other resources including datasets and extra learning tools. Visual signposts throughout the text guide the student to the online platform to provide a seamless interaction between the two this providing a multi-faceted learning experience.The wide-ranging coverage provided makes this the ideal text for the teaching of quantitative methods across all business disciplines at undergraduate, MBA, and post-experience levels.

Includes index.

Mathematical background -- Basic mathematics -- Financial mathematics -- Part One: Understanding quantitative information -- The quantitative approach -- Managing data -- Survey methods -- Part Two: Describing data -- Presentation of data -- Measures of location -- Measures of dispersion -- Index numbers -- Part Three: Measuring uncertainty -- Probability -- Discrete probability distributions -- The normal distribution -- Part Four: Using statistical inference -- Samples, estimation and confidence intervals -- Significance testing -- Non-parametric tests -- Part Five: Relating variables and predicting outcomes -- Correlation and simple regression analysis -- Multiple regression analysis -- Time series -- Part Six: Modelling -- Linear programming -- Networks -- Modelling stock control and queues -- Simulation -- Game theory -- Factor analysis -- Part Seven: Mathematical topics -- Matrices -- Use of calculus -- Part Eight: Student guides -- Guide to creative problem solving -- Guide to EXCEL -- Guide to SPSS -- Guide to project management software -- Guide to writing and reporting statistics.

This established and popular text is regarded as one of the clearest and most comprehensive in its field. David Eadson has joined Jon Curwin and Roger Slater in the author team, and together they have sought to offer a more compact book with all the qualities of the previous six editions, whilst strengthening the links to online support materials. The new edition has been enhanced to reflect the latest learning plans and techniques, providing students with all the tools they need to pass the typical Quantitative Methods course. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, finance, and public administration, to appeal to students across the business spectrum. Whilst all core material is covered in the book itself, the online offering has been bolstered to include Parts 6-8 covering \'Modelling\', \'Mathematical Topics\' and \'Student Guides\' respectively, in addition to a wide range of other resources including datasets and extra learning tools. Visual signposts throughout the text guide the student to the online platform to provide a seamless interaction between the two this providing a multi-faceted learning experience. The wide-ranging coverage provided makes this the ideal text for the teaching of quantitative methods across all business disciplines at undergraduate, MBA, and post-experience levels.

CIT Module MATH 6057 - Supplementary reading.

CIT Module MATH 6010- Core reading.

CIT Module MATH6011 - Core reading.

CIT Module MATH 6025 - Core reading.

CIT Module MATH 6033- Core reading.

CIT Module MATH 6034 - Core reading.