Beginner’s Guide to Correlation Analysis
Beginner’s Guide to Correlation Analysis
Learn The One Reason Your Correlation Results Are Probably Wrong
About the Book
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Your correlation results are probably wrong. Sorry, but they are.
You see, there is one really important thing to know about your correlations that mean that whatever results you get you can’t be sure they are correct.
This book fixes that.
Correlation is a way of describing how a pair of variables change together as a result of their connection. In other words, if one of your variables changes, the other is likely to change too, and correlations measure by how much.
Correlation analysis is one of the most used – and misunderstood – statistical techniques. Most correlation results are wrong, and for one very good reason. In this book we’re going to understand just why this is, and learn how to fix it.
Beginner’s Guide to Correlation Analysis explains how to look at correlations 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.
Best of all, there is no technical or statistical jargon – it is written in plain English.
It is packed with visually intuitive examples and makes no assumptions about your previous experience with statistics or correlations – in short, it is perfect for beginners!
Discover the world of correlation analysis. Get this book, TODAY!
About the Author
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Thomas W. Dinsmore
When you're finished discovering the story of your data, work on the story of the things your data represents
Table of Contents
Introduction
What are Associations and Correlations?
Statistical Correlations
Statistical Associations – Measurements Within Categories
Statistical Associations – Counts Within Categories
Your Correlation Results Are Probably Wrong!
Bonus: Automating Associations and Correlations
Summary
About the Author
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