Statistical Hypothesis Testing with Microsoft Office Excel

This book provides a comprehensive treatment of the logic behind hypothesis ing. Readers will learn to understand statistical hypothesis ing and how to interpret P -values under a variety of conditions including a single hypothesis , a collection of hypothesis s, and s performed on accumulating data. The author explains how a hypothesis can be interpreted to draw conclusions, and descriptions of the logic behind frequentist (classical) and Bayesian approaches to interpret the results of a statistical hypothesis are provided. Both approaches have their own strengths and challenges, and a special challenge presents itself when hypothesis s are repeatedly performed on accumulating data. Possible pitfalls and methods to interpret hypothesis s when accumulating data are also analyzed. This book will be of interest to researchers, graduate students, and anyone who has to interpret the results of statistical analyses.