Hypothesis Testing: The Ultimate Beginner's Guide to Statistical Significance

The Perfect Book for Beginners Wanting to Learn About Hypothesis Testing & Statistical Significance

Multi-time best selling IT & mathematics author, Arthur Taff, presents a leading book for beginners to learn and understand hypothesis testing - specifically statistical significance. Statistical significance is a way of determining if an outcome occurred by random chance, or if something caused that outcome to be different than the expected baseline. Statistical significance calculations find their way into scientific and engineering tests of all kinds, from medical tests with control group and a testing group, to the analysis of how strong a newly made batch of parts is. Those same calculations are also used in investment decisions.

In this book, you will get:

• A breakdown of all the major types of statistical significance calculations, and workings through an example using them, with an explanation of when you would use that specific type instead of one of the others.
• Visual examples included with all explanations, so you can better understand and learn statistical significance.
• An easy-to-understand approach that doesn't assume you have prior in-depth knowledge of statistics or that you regularly use an advanced statistics software package.
• The quickest hack to hypothesis testing - if you know what an "average" is and can use Excel at a basic level, this book will build the rest of the knowledge, and do so in an intuitive way.
• Arthur's personal email address for unlimited customer support if you have any questions
• And much, much more...

If you are a person that learns by example, then this book is perfect for you It is a very important topic with use in a wide range of industries and situations - so dive in to get a deep understanding

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