Paramètres
- 784pages
- 28 heures de lecture
En savoir plus sur le livre
The established text Statistics for Management and Economics delivers an accessible and comprehensive overview for business students across the UK, Europe, the Middle East and Africa. With a wealth of examples and real data, this statistics textbook is essential reading for all business, management and economics courses at undergraduate and MBA level.Keller's practical three-step approach to problem-solving demonstrates how statistics are vital for today's managers and economists: it teaches students how to identify the correct technique for a problem or data type, compute the statistics and how to interpret the results meaningfully, equipping them with the practical skills they need in a world of big data, data visualization and social media.
Achat du livre
Statistics for Management and Economics, Gerald Keller, Nicoleta Gaciu
- Langue
- Année de publication
- 2019
- product-detail.submit-box.info.binding
- (souple),
- État du livre
- Bon
- Prix
- 38,49 €
Modes de paiement
Il manque plus que ton avis ici.
- Titre
- Statistics for Management and Economics
- Sous-titre
- Second EMEA Edition
- Langue
- Anglais
- Auteurs
- Gerald Keller, Nicoleta Gaciu
- Éditeur
- Cengage Learning EMEA
- Publié
- 2019
- Format
- souple
- Pages
- 784
- ISBN10
- 1473768268
- ISBN13
- 9781473768260
- Séries
- Mots clés
- Nonfiction, Manuels, Commerce, Affaires & Gestion, Science et Mathématiques, Manuels et guides, Mathématiques, Économie
- Évaluation
- 4 sur 5
- Description
- The established text Statistics for Management and Economics delivers an accessible and comprehensive overview for business students across the UK, Europe, the Middle East and Africa. With a wealth of examples and real data, this statistics textbook is essential reading for all business, management and economics courses at undergraduate and MBA level.Keller's practical three-step approach to problem-solving demonstrates how statistics are vital for today's managers and economists: it teaches students how to identify the correct technique for a problem or data type, compute the statistics and how to interpret the results meaningfully, equipping them with the practical skills they need in a world of big data, data visualization and social media.