Hypothesis Testing & Statistical Significance - A Visual Introduction To Statistical Significance (English Edition)

Scott Hartshorn

Amazon Servicos de Varejo do Brasil Ltda

2018

152 páginas

5h 4m

ISBN-10: B019N212NE

If you are looking for a short beginners guide packed with visual examples, this booklet is for you.

Statistical significance is a way of determining if an outcome occurred by random chance, or did something cause 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.

This book goes through all the major types of statistical significance calculations, and works through an example using them, and explains when you would use that specific type instead of one of the others. Just as importantly, this book is loaded with visual examples of what exactly statistical significance is, and the book doesn't assume that you have prior in depth knowledge of statistics or that you regularly use an advanced statistics software package. If you know what an average is and can use Excel, this book will build the rest of the knowledge, and do so in an intuitive way. For instance did you know that

Statistical Significance Can Be Easily Understood By Rolling A Few Dice?
In fact, you probably already know this key concept in statistical significance, although you might not have made the connection. The concept is this. Roll a single die. Is any number more likely to come up than another ? No, they are all equally likely. Now roll 2 dice and take their sum. Suddenly the number 7 is the most likely sum (which is why casinos win on it in craps). The probability of the outcome of any single die didn't change, but the probability of the outcome of the average of all the dice rolled became more predictable. If you keep increasing the number of dice rolled, the outcome of the average gets more and more predictable. This is the exact same effect that is at the heart of all the statistical significance equations (and is explained in more detail in the book)

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Recomendo o livro para que está estudando ou gostaria de revisar o conteúdo. O autor consegue fazer uma introdução bem didático sobre o tema e com vários testes juntamente com seus exemplos. Senti falta somente de uma melhor definição das hipóteses tanto nula quanto alternativa ao longo do texto.