Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions

Frost, Jim

ISBN 10: 173543115X / ISBN 13: 9781735431154

Published by Statistics By Jim Publishing, 2020

About this Item

The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.

Seller Inventory # BVV.173543115X.G

Bibliographic Details

• Title: Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions
• Publisher: Statistics By Jim Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 173543115X
• ISBN 13: 9781735431154
• Binding: Soft cover
• Condition: good

About this title

Synopsis

The world produces more data than ever. Are you ready for it?

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!

• Understand why you need hypothesis tests and how they work.
• Effectively use significance levels, p-values, confidence intervals.
• Select the correct type of test to answer your question.
• Learn how to test means, medians, variances, proportions, distributions, counts, correlations for continuous and categorical data, and find outliers.
• One-Way ANOVA, Two-Way ANOVA, and interaction effects.
• Check assumptions to obtain reliable results.
• Manage the error rates for false positives and false negatives.
• Understand sampling distributions, the central limit theorem, and statistical power.
• Know how t-tests, F-tests, chi-squared, and post hoc tests work.
• Learn about differences between parametric, nonparametric, and bootstrapping methods.
• Examples of many hypothesis tests.
• Access free downloadable datasets so you can try it yourself.

About the Author

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 at 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.

About the Author

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 at a statistical software company helping others make the most out of their data. Jim loves sharing the joy of statistics. In addition to writing books, he has his own statistics website and writes a regular column for the American Society of Quality's Statistics Digest. Find him online at statisticsbyjim.com.