The Perfect Book for Beginners Wanting to Visually Learn About Bayes Theorem Through Real Examples

What if you could quickly and easily learn Bayesian data analysis without complex textbooks and statistics classes?

Imagine being able to apply your newly learned theory to real life situations

Multi-time best selling IT & mathematics author, Arthur Taff, presents the perfect guide for any beginner. Bayesian data analysis can be difficult to learn, especially through textbooks and statistic classes at school. This book aims to solve that issue by presenting the theories in an easy-to-understand and visually intuitive way. This book contains a number of visual examples to build a basic understanding of Bayesian data analysis and then works to teach at a deeper level without the complexities you'd see in other similar books. Additionally, every example in this book has been solved using Excel.

In this book, you will get:

• A Basic Introduction to Bayes Theorem (with examples) - The initial introduction demonstrates how Bayesian data analysis works when you have a single new piece of data to update initial probabilities.
• Adding New Data & Updating Probabilities - Takes the above example and looks at what happens if we have multiple pieces of data instead of a single piece.
• Bayes Theorem Terminology - The formal names for the different parts of the Bayes Theorem equation, and how it all comes together for an easier overall understanding.
• How to Deal With Data Errors - In a real life situation, it is unlikely that your data will be error-free. This section shows you how to deal with those errors and still get accurate probability estimates.
• 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, especially visually, then this book is perfect for you It is a very important topic in a wide range of industries - so dive in to get a deep understanding

Well, what are you waiting for? Grab your copy today by clicking the BUY NOW button at the top of this page

The Perfect Probability Book for Beginners Wanting to Learn About Permutations & Combinations

Multi-time best selling IT & mathematics author, Arthur Taff, presents a leading book for beginners to learn and understand probability concepts such as permutations and combinations. Learning about probability with combinations and permutations gives you a competitive edge in ANY field. Whether it's poker, horse racing, weather forecasting, playing the lottery, general mathematics or virtually any other field where odds need to be determined--this book will help you succeed

In this book, you will get:

• A breakdown of the essentials of permutations and combinations to give you a simple--but not simplistic--approach to calculating any given outcome based on certain variables.
• Introduction to the Fundamentals of Probability.
• Breakdown of Permutations & Combinations (With Examples).
• How to Use Permutations & Combinations in Probability.
• Urn Problems & How to Approach Them.
• Probability & Real Life Situations (Lottery, Poker, Weather Forecasts, etc.).
• Arthur's personal email address for unlimited customer support if you have any questions
• And much, much more...

By the time you're done reading this book you'll have a better understanding of how to use probability in real-world situations. You'll even see I've purposely avoided using a lot of jargon and complex theory so that beginners can pick up this book and gain a working knowledge of how to put permutations and combinations to use, and arrive at outcomes.

Well, what are you waiting for? Grab your copy today by clicking the BUY NOW button at the top of this page

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

Well, what are you waiting for? Grab your copy today by clicking the BUY NOW button at the top of this page