If you have a degree in statistics, you probably know how to choose the correct statistical hypothesis test and you might not learn anything from this book. Then again, you just might…
Kristen Kehrer, who has a Master's degree in statistics, said:
"Lee Baker has developed a wonderful visual aid which, frankly, I wish I had when I was first learning about all the different types of test statistics".
The aid she's talking about is a statistical test flow chart that I call The Hypothesis Wheel, and is what you'll learn about in Hypothesis Testing.
If you're one of the 99% of researchers and analysts who use statistics but have never studied it at University, then this book is for you.
Hypothesis Testing is a short guide to learning how to ask all the right questions of your data to help you in choosing the correct statistical hypothesis test, aided by The Hypothesis Wheel.
It is a snappy little non-threatening book about everything you ever wanted to know (but were afraid to ask) about choosing the correct hypothesis test, answers the most frequently asked questions and inspires you to take the next steps in your journey.
First, I'll explain what statistical hypothesis testing is in simple terms.
Then I'll show you how to write a good hypothesis for your study.
You'll learn the difference between a scientific hypothesis and a statistical hypothesis, and between the Null and Alternative hypotheses.
Then I'll introduce to you the Hypothesis Wheel and show you how to use it to choose the correct hypothesis test for your study, first time, every time.
By the time you've read Hypothesis Testing, you'll know as much about choosing hypothesis tests as a statistician with a PhD!
Yes, really.
I've left nothing out!
Hypothesis Testing makes no assumptions about your previous experience and is perfect for beginners and those just getting started with analysing data.
Discover the world of hypothesis testing and choosing the correct statistical test. Get this book, TODAY!
