Statistical Thinking for Managers. Este artículo no está disponible.
Idioma: inglés
Editorial: South-Western Pub, 1998
- Tapa dura
- Usado

Librería: Greenworld Books, arlington, TX, Estados Unidos de AmericaGreenworld Books
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Fast Free Shipping – Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.
N° de ref. del artículo GWV.0534204066.G
- Título
- Statistical Thinking for Managers
- Autor
- Hildebrand, David K.; Ott, R. Lyman
- Editorial
- South-Western Pub
- Año de publicación
- 1998
- Estado
- good
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 0534204066
- ISBN 13
- 9780534204068
Focusing on the analysis of data using modern statistical and spreadsheet software, Hildebrand and Ott emphasize making sense of data and discuss not only how a statistical method is applied, but why and why not. Throughout the book, the authors integrate computer use into the development of statistical concepts, emphasizing the value of looking at data to make sure the right questions are being asked. The real-life applications and examples throughout challenge students to think like managers. The case that concludes every chapter asks students to deal with a relatively unstructured situation and to explain the statistical reasoning in nontechnical language. Modern statistical methods, including resampling and bootstrapping are included. In addition, the authors emphasize quality control and improvement throughout the book and include three full chapters on regression and correlation methods.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
Focusing on the analysis of data using modern statistical and spreadsheet software, Hildebrand and Ott emphasize making sense of data and discuss not only how a statistical method is applied, but why and why not. Throughout the book, the authors integrate computer use into the development of statistical concepts, emphasizing the value of looking at data to make sure the right questions are being asked. The real-life applications and examples throughout challenge students to think like managers. The case that concludes every chapter asks students to deal with a relatively unstructured situation and to explain the statistical reasoning in nontechnical language. Modern statistical methods, including resampling and bootstrapping are included. In addition, the authors emphasize quality control and improvement throughout the book and include three full chapters on regression and correlation methods.
“Acerca de” puede pertenecer a otra edición de este título.