Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions

by Jim Frost

In today’s data-driven world, you hear about making decisions based on data all the time. Hypothesis testing plays a crucial role in that process, whether you’re in academia, business, or data science. Without hypothesis tests, you risk making bad decisions. Chances are high you’ll need to understand these tests to analyze your data and evaluate the work of others. Build the knowledge for effective hypothesis testing! Know when to use each test, how to use them reliably, and how to interpret the results correctly! Jim Frost has extensive experience using statistical analysis in academic research and consulting projects. He’s been performing statistical analysis on-the-job for over 20 years. For 10 of those years, he was a statistical software company helping others make the most out of their data. Jim loves sharing the joy of statistics. To help with this process, he has his own website and writes a regular column for the American Society of Quality's Statistics Digest .

381 pages, Paperback

Published September 14, 2020

Reviews

[Vibhor Gupta · Rating 4 out of 5]

As the title says an intuitive guide , the book helps to develop an intution about hypothesis testing. Why it is used, which type should be used in which scenario, how to interpret the results etc. With minimum mathematical formulas , the concepts were explained in an easy to read and comprehensible language.
Since the book is an introduction, in depth coverage of the concepts is not available, but the content is good enough from a beginners point.

[Marcus Goncalves · Rating 5 out of 5]

It took me a little while, but finally finished this book, which focuses on the insight instead of the formula of hypothesis testing.