Essential quantitative methods : for business, management and finance / Les Oakshott
Material type:
TextPublisher: London : Red Globe Press, 2020Edition: 7th editionDescription: xxviii, 427 pages : illustrations; 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 1352005697; 9781352005691Subject(s): Business mathematics | Finance -- Mathematical modelsDDC classification: 658.0015195 Summary: "This textbook covers all of the key quantitative methods needed to solve everyday business problems. Presented in a highly accessible and concise manner, Les Oakshott's clear and friendly writing style guides students from basic statistics through to advanced topics, such as hypothesis testing and time series, as well as operational research techniques such as linear programming and inventory management. Step-by-step instructions and accompanying activities will help students to practice and gain confidence in carrying out techniques. The book's coverage is fully grounded within the real world of business. Real-life case studies open every chapter and numerous examples throughout demonstrate why quantitative techniques are needed for a business to be successful." -- Provided by publisher
| Item type | Current library | Home library | Shelving location | Class number | Status | Date due | Barcode | Item reservations | |
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Paul Hamlyn Library | Paul Hamlyn Library | Floor 3 | 650.0151 OAK (Browse shelf(Opens below)) | Available | 06883702 | |||
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Paul Hamlyn Library | Paul Hamlyn Library | Floor 3 | 650.0151 OAK (Browse shelf(Opens below)) | Issued | 18/11/2024 | 06883710 | ||
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Paul Hamlyn Library | Paul Hamlyn Library | Floor 3 | 650.0151 OAK (Browse shelf(Opens below)) | Available | 06884288 |
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Includes bibliographical references and index
"This textbook covers all of the key quantitative methods needed to solve everyday business problems. Presented in a highly accessible and concise manner, Les Oakshott's clear and friendly writing style guides students from basic statistics through to advanced topics, such as hypothesis testing and time series, as well as operational research techniques such as linear programming and inventory management. Step-by-step instructions and accompanying activities will help students to practice and gain confidence in carrying out techniques. The book's coverage is fully grounded within the real world of business. Real-life case studies open every chapter and numerous examples throughout demonstrate why quantitative techniques are needed for a business to be successful." -- Provided by publisher
Previous edition: 2016
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