Beginner’s Guide to Correlation Analysis
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Beginner’s Guide to Correlation Analysis

Learn The One Reason Your Correlation Results Are Probably Wrong

About the Book

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Now With 2 Free Bonuses!

You can now get the following FREE bonuses with this book:

The Future of Statistics

  • An anthology written with the contributions of some of the most prominent statisticians, data analysts and Data Scientists in the world to help you take the next steps in your Data Ninja journey!

Exploratory Data Analysis - The Big Picture

  • An Ultra Hi-Def poster created to help you understand which statistics to use in exploratory data analysis!

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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

Lee Baker
Lee Baker

Lee Baker is an award-winning software creator with a passion for turning data into a story.

A proud Yorkshireman, he now lives by the sparkling shores of the East Coast of Scotland.

Physicist, statistician and programmer, child of the flower-power psychedelic ‘60s, it’s amazing he turned out so normal!

Turning his back on a promising academic career to do something more satisfying, as the CEO and co-founder of Chi-Squared Innovations he now works double the hours for half the pay and 10 times the stress - but 100 times the fun!

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Reader Testimonials

Thomas W. Dinsmore
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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