Statistical techniques in business & economics / Douglas A. Lind, (Coastal Carolina University and The University of Toledo), William G. Marchal, (The University of Toledo), Samuel A. Wathen, (Coastal Carolina University).
New York, NY : McGraw-Hill Education [2018]Edición: Seventeenth EditionDescripción: xxvi, 863 pages : | illustrations (some color) ; 28 cmTipo de contenido:- 9781259666360
- Statistical techniques in business and economics
- 519.5 L742s7
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
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| Libro | Biblioteca Mons. Iñaki Mallona (Arecibo) Colección General ab | 519.5 L742s7 (Navegar estantería(Abre debajo)) | 1 | Disponible | 60000010165741 |
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Lind/Marchal/Wathen is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student friendly, step-by-step format. The text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of business-focused examples that are relevant to the current world of a college student. Known as a "student's text," Lind's supporting pedagogy includes self-reviews, cumulative exercises, and coverage of software applications including Excel, Minitab, and MegaStat for Excel. And now, McGraw-Hill's adaptive learning component, LearnSmart, provides assignable modules that help students master chapter core concepts and come to class more prepared. In addition, resources within Connect help students solve problems and apply what they've learned. Lind's real-world examples, comprehensive coverage, and superior pedagogy combine with a complete digital solution to help students achieve higher outcomes in the course.
Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.
Revised edition of the authors' Statistical techniques in business & economics, [2015]