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portada Introduction to Applied Statistics using Excel and R: A workplace approach
Type
Physical Book
Author
Publisher
Language
English
Pages
244
Format
Paperback
Dimensions
27.9x21.6x1.6 cm
Weight
0.79 kg.
ISBN13
9781720169062
Categories

Introduction to Applied Statistics using Excel and R: A workplace approach

Alun Brain (Author) · Independently Published · Paperback

Introduction to Applied Statistics using Excel and R: A workplace approach - Brain, Alun

New Book Imported to South Africa
Delivery: 22 Sep - 30 Sep Shipping: 6 to 7 business days.
R 978
R 978

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Synopsis "Introduction to Applied Statistics using Excel and R: A workplace approach"

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 youto develop an advanced understanding or how Excel(R) and R 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.This book also provides an introductory level in Excel covering: - Averages - T-tests - If statements - Pivot tables - Chi-square -CHAID decision treeA well as providing an introductory level to programming in R covering; -Creating simple statistics- Importing data - Data frames -Data manipulation (ifelse, which) - Joining data frames - Analysis and MI reporting - Simple linear regression- General linear model- Logistic regression- Basic graphsAll supporting material is available from www.drbrainstats.com such as: - Excel sheets- R programs- Datasets

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