Arthur Taff has 3 audiobooks on Listento.it, narrated by 2 narrators. The most-rated is Bayes Theorem: The Ultimate Beginner's Guide to Bayes Theorem.
Probability: The Ultimate Beginner's Guide to Permutations & Combinations
Summary
The perfect probability book for beginners wanting to learn about permutations and combinations! Multi-time best-selling IT and mathematics author Arthur Taff presents a leading audiobook 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 audiobook will help you succeed! In this audiobook, 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 and combinations (with examples) How to use permutations and combinations in probability Urn problems and how to approach them Probability and 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 listening to this audiobook, 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 audiobook and gain a working knowledge of how to put permutations and combinations to use, and arrive at outcomes.
©2018 Arthur Taff (P)2018 Arthur Taff
Hypothesis Testing: The Ultimate Beginner's Guide to Statistical Significance
Summary
The perfect book for beginners wanting to learn about hypothesis testing & statistical significance! 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 a 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. The book features 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. Arthur's personal email address is included for unlimited customer support if you have any questions. If you are a person who 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!
©2018 Arthur Taff (P)2018 Arthur Taff
Bayes Theorem: The Ultimate Beginner's Guide to Bayes Theorem
Summary
Perfect for beginners wanting to 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! In this audiobook, 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 and 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, then this audiobook is perfect for you! It is a very important topic in a wide range of industries - so dive in to get a deep understanding!
©2018 Arthur Taff (P)2018 Arthur Taff