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Introducing students to quantitative techniques from the level of basic maths, this clear, concise and accessible textbook is ideal for student cohorts of mixed maths abilities on business statistics modules, who require industry-focused examples.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sugli autori
Les Oakshott is a former Associate Fellow of Warwick Business School, UK.
Professor Kathy Kotiadis is Professor of Management Science/Operational Research at the University of Kent.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Essential Quantitative Methods
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Essential Quantitative Methods (Paperback)
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Paperback. Condizione: new. Paperback. Statistical skills are essential for analysing data and ensuring optimal business operation and efficiency. In this clear and concise textbook, Les Oakshott and Kathy Kotiadis guide students through key quantitative techniques, from basic maths and statistics through to advanced topics such as hypothesis testing and linear programming.Grounded in the everyday realities of business, this textbook introduces each chapter with an engaging case study to highlight how organisations operationalise these techniques, ranging from the growth of Chinas economy and a Covid-19 infection survey to goal scoring at Euro 2024 and the effect of global warming on the occurrence of salmonella in Singapore.New to this edition:-Links the UN Sustainable Development Goals to quantitative techniques -Greater emphasis on Excel to enable seamless transition to blended learning approaches-Walk-through videos of key processes hosted on the companion websiteThis is the essential textbook for delivering quantitative methods and business statistics modules to students of mixed maths abilities across undergraduate and postgraduate levels.Accompanying online resources for this title can be found at bloomsbury.pub/essential-quantitative-methods-8e. These resources are designed to support teaching and learning at no extra cost. Introducing students to quantitative techniques from the level of basic maths, this clear, concise and accessible textbook is ideal for student cohorts of mixed maths abilities on business statistics modules, who require industry-focused examples. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781350426412
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Essential Quantitative Methods
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Bloomsbury Publishing PLC, GB, 2026
ISBN 10: 1350426415
ISBN 13: 9781350426412
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Paperback. Condizione: New. Statistical skills are essential for analysing data and ensuring optimal business operation and efficiency. In this clear and concise textbook, Les Oakshott and Kathy Kotiadis guide students through key quantitative techniques, from basic maths and statistics through to advanced topics such as hypothesis testing and linear programming.Grounded in the everyday realities of business, this textbook introduces each chapter with an engaging case study to highlight how organisations operationalise these techniques, ranging from the growth of China's economy and a Covid-19 infection survey to goal scoring at Euro 2024 and the effect of global warming on the occurrence of salmonella in Singapore.New to this edition:-Links the UN Sustainable Development Goals to quantitative techniques -Greater emphasis on Excel to enable seamless transition to blended learning approaches-Walk-through videos of key processes hosted on the companion websiteThis is the essential textbook for delivering quantitative methods and business statistics modules to students of mixed maths abilities across undergraduate and postgraduate levels.Accompanying online resources for this title can be found at bloomsbury.pub/essential-quantitative-methods-8e. These resources are designed to support teaching and learning at no extra cost. Codice articolo LU-9781350426412
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Essential Quantitative Methods
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Essential Quantitative Methods: for Business, Management and Finance
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Essential Quantitative Methods: For Business, Management And Finance
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Paperback. Condizione: Brand New. 8th ed edition. 480 pages. 7.45x1.05x9.70 inches. In Stock. Codice articolo __1350426415
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Essential Quantitative Methods (Paperback)
Editore:
Bloomsbury Publishing PLC, London, 2026
ISBN 10: 1350426415
ISBN 13: 9781350426412
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Da: AussieBookSeller, Truganina, VIC, Australia
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Paperback. Condizione: new. Paperback. Statistical skills are essential for analysing data and ensuring optimal business operation and efficiency. In this clear and concise textbook, Les Oakshott and Kathy Kotiadis guide students through key quantitative techniques, from basic maths and statistics through to advanced topics such as hypothesis testing and linear programming.Grounded in the everyday realities of business, this textbook introduces each chapter with an engaging case study to highlight how organisations operationalise these techniques, ranging from the growth of Chinas economy and a Covid-19 infection survey to goal scoring at Euro 2024 and the effect of global warming on the occurrence of salmonella in Singapore.New to this edition:-Links the UN Sustainable Development Goals to quantitative techniques -Greater emphasis on Excel to enable seamless transition to blended learning approaches-Walk-through videos of key processes hosted on the companion websiteThis is the essential textbook for delivering quantitative methods and business statistics modules to students of mixed maths abilities across undergraduate and postgraduate levels.Accompanying online resources for this title can be found at bloomsbury.pub/essential-quantitative-methods-8e. These resources are designed to support teaching and learning at no extra cost. Introducing students to quantitative techniques from the level of basic maths, this clear, concise and accessible textbook is ideal for student cohorts of mixed maths abilities on business statistics modules, who require industry-focused examples. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781350426412
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Essential Quantitative Methods: for Business, Management and Finance
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Essential Quantitative Methods (Paperback)
Editore:
Bloomsbury Publishing PLC, London, 2026
ISBN 10: 1350426415
ISBN 13: 9781350426412
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Da: CitiRetail, Stevenage, Regno Unito
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Paperback. Condizione: new. Paperback. Statistical skills are essential for analysing data and ensuring optimal business operation and efficiency. In this clear and concise textbook, Les Oakshott and Kathy Kotiadis guide students through key quantitative techniques, from basic maths and statistics through to advanced topics such as hypothesis testing and linear programming.Grounded in the everyday realities of business, this textbook introduces each chapter with an engaging case study to highlight how organisations operationalise these techniques, ranging from the growth of Chinas economy and a Covid-19 infection survey to goal scoring at Euro 2024 and the effect of global warming on the occurrence of salmonella in Singapore.New to this edition:-Links the UN Sustainable Development Goals to quantitative techniques -Greater emphasis on Excel to enable seamless transition to blended learning approaches-Walk-through videos of key processes hosted on the companion websiteThis is the essential textbook for delivering quantitative methods and business statistics modules to students of mixed maths abilities across undergraduate and postgraduate levels.Accompanying online resources for this title can be found at bloomsbury.pub/essential-quantitative-methods-8e. These resources are designed to support teaching and learning at no extra cost. Introducing students to quantitative techniques from the level of basic maths, this clear, concise and accessible textbook is ideal for student cohorts of mixed maths abilities on business statistics modules, who require industry-focused examples. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781350426412
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