Statistical Techniques in Business and Economics, 18th Edition [Libro Electrónico - McGraw-Hill]
Tipo de material: TextoEditor: United Kingdom of Great Britain & Northern Ireland : McGraw-Hill Higher Education (International), 2020Edición: 18th editionDescripción: 1 online resourceTipo de contenido: text Tipo de medio: computer ISBN: 9781260579611Tema(s): Mathematics/Probability & Statistics/GeneralRecursos en línea: Haga clic para acceso en línea Resumen: Statistical Techniques in Business and Economics, 18e is a best seller, originally published in 1967 to provide students majoring in management, marketing, finance, accounting, economics, and other fields of business administration with an introductory survey of descriptive and inferential statistics. Its hallmark presentation boasts a step by step approach that was written so clearly that any student can learn and succeed in Business Statistics. Its simple language and use of multiple examples focus on business applications, but also relate to the current world of the college student. This step-by-step approach enhances performance, accelerates preparedness, and significantly improves motivation. Lind's real-world examples, comprehensive coverage, and superior pedagogy that now includes data analytics coverage, combined with a complete digital solution help students achieve higher outcomes in the course.Tipo de ítem | Ubicación actual | Colección | Signatura | Estado | Fecha de vencimiento | Código de barras |
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MacGraw-Hill | Biblioteca Central Estatal de Guanajuato, "Wigberto Jiménez Moreno" | Libros Electrónicos MacGraw-Hill | Disponible | 9781260579611 |
Statistical Techniques in Business and Economics, 18e is a best seller, originally published in 1967 to provide students majoring in management, marketing, finance, accounting, economics, and other fields of business administration with an introductory survey of descriptive and inferential statistics. Its hallmark presentation boasts a step by step approach that was written so clearly that any student can learn and succeed in Business Statistics. Its simple language and use of multiple examples focus on business applications, but also relate to the current world of the college student. This step-by-step approach enhances performance, accelerates preparedness, and significantly improves motivation. Lind's real-world examples, comprehensive coverage, and superior pedagogy that now includes data analytics coverage, combined with a complete digital solution help students achieve higher outcomes in the course.
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