Inbunden, Engelska, 2026
Essential Quantitative Methods
for Business, Management and Finance
Av Les Oakshott, Kathy Kotiadis
2616 kr
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Beskrivning
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.
Produktinformation
- Utgivningsdatum: 2026-10-01
- Mått: 206 x 256 x 32 mm
- Vikt: 1 240 g
- Format: Inbunden
- Språk: Engelska
- Antal sidor: 488
- Upplaga: 8
- Förlag: Bloomsbury Publishing PLC
- ISBN: 9781350426429
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Mer om författaren
Les Oakshott is a former Associate Fellow of Warwick Business School, UK.Kathy Kotiadis is Professor of Management Science/Operational Research at the University of Kent, UK.
Recensioner i media
A cornerstone text that every data science and analytics student should have on their shelf. Oakshott and Kotiadis strike the perfect balance between mathematical rigour and real-world applicability, making complex quantitative methods genuinely accessible.
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