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Description
In Multivariate Analysis – The Simplest Guide in the Universe, award-winning statistician and author Lee Baker guides you through the building blocks of multivariate analysis towards discovering the relationships within your data.
When searching for relationships in your data (associations and correlations), most results you'll get are wrong. In this book you're going to learn precisely why, and learn how to make sure you get the correct results first time, every time.
In this book, you will get the answers to questions such as:
Why should I do multivariate analysis? How do I choose which type of multivariate test to use? How do I interpret the results of multivariate tests? What should I do when my univariate and multivariate results do not agree?
In Multivariate Analysis – The Simplest Guide in the Universe you'll learn a holistic method of discovering the story of all the relationships in your data. The holistic method is about selecting the correct multivariate tests following your univariate analysis and using all the results in a single strategic framework to give you confidence that the story you discover is likely to be the true story of your data.
Multivariate Analysis – The Simplest Guide in the Universe is written in plain English with a focus on understanding the data, how to work with it, choose the right ways to analyse it, select the correct statistical tools and how to interpret the results in a way that is easy to understand. It enables researchers of all backgrounds to understand and to evaluate critically the results of analyses that they are likely to encounter in their own research and in that of others.
Best of all, it makes no assumptions about your previous experience with statistics, is packed with visually intuitive examples and is perfect for beginners!
Discover the world of Multivariate Analysis. Get this book, TODAY!
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9781393342861
- Date de parution :
- 11-06-20
- Format:
- Ebook
- Protection digitale:
- /
- Format numérique:
- ePub
