Name: Introduction to Applied Statistics using Excel and SAS: A workplace approach (en Inglés)
SKU: 58031617
Price: 66070.00 CLP
Availability: InStock
Author: Brain, A.
ISBN: 9781723872372

portada Introduction to Applied Statistics using Excel and SAS: A workplace approach (en Inglés)

Introduction to Applied Statistics using Excel and SAS: A workplace approach (en Inglés)

Formato

Libro Físico

Autor

A. Brain

Editorial

Independently Published

Idioma

Inglés

N° páginas

238

Encuadernación

Tapa Blanda

Dimensiones

27.9x21.6x1.6 cm

Peso

0.77 kg.

ISBN13

9781723872372

Categorías

Software de matemáticas y estadísticas

Introduction to Applied Statistics using Excel and SAS: A workplace approach (en Inglés)

A. Brain (Autor) · Independently Published · Tapa Blanda

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Reseña del libro "Introduction to Applied Statistics using Excel and SAS: A workplace approach (en Inglés)"

This book has been developed using a working knowledge of teaching statistics in the workplace. It recognises that, in everyday business, analysts use a mixture of software tools. The book is for both the applied statistician/analyst/decision scientist who has just started on their journey and the one who needs complimentary material for their studying. There is no presumption of previous knowledge and the book includes all the core skills needed to empower you with a strong foundation in the application of statistics. The book then builds on these techniques and will allow you to develop an advanced understanding or how Excel(R) and SAS can be used intelligently and effectively in the workplace. As part of the journey, there are work-through examples with clear instructions and screenshots to enable you to practise your skills as you develop them. The ultimate goal? For you to gain confidence in your work, pose the appropriate questions and provide clear, concise, accurate solutions to workplace problems. With supporting material on www.drbrainstats.com this isn't just another textbook but a chance for you to learn and grow your understanding through a very hands-on approach to data and analytics.