You're reading from Building Statistical Models in Python

Product typeBook

Published inAug 2023

Reading LevelIntermediate

PublisherPackt

ISBN-139781804614280

Edition1st Edition

Languages

Python

Concepts

Statistics

Authors (3):

Huy Hoang Nguyen

Paul N Adams

Stuart J Miller

View More author details

Tests with more than two groups and ANOVA

In the previous chapter and previous sections, we covered tests between two groups. In this section, we will cover two methods for testing differences between groups, as follows:

Pairwise tests with the Bonferroni correction
ANOVA

When testing for differences between more than two groups, we will have to use multiple tests, which will affect our type I error rate. There are several methods to control the error rate. We will see how to utilize the Bonferroni correction to control the Type I error rate. We will also discuss ANOVA in this section, which is used to test for a difference in means of multiple groups.

Multiple tests for significance

In the previous sections, we looked at making a comparison between two groups. In this section, we will consider how to perform tests when there are more than two groups present. Let’s again consider the factory example where we have several models (model A, model B, and...

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Building Statistical Models in Python

Published in: Aug 2023Publisher: PacktISBN-13: 9781804614280

Authors (3)

Huy Hoang Nguyen

Huy Hoang Nguyen is a Mathematician and a Data Scientist with far-ranging experience, championing advanced mathematics and strategic leadership, and applied machine learning research. He holds a Master's in Data Science and a PhD in Mathematics. His previous work was related to Partial Differential Equations, Functional Analysis and their applications in Fluid Mechanics. He transitioned from academia to the healthcare industry and has performed different Data Science projects from traditional Machine Learning to Deep Learning.
Read more about Huy Hoang Nguyen

Paul N Adams

Paul Adams is a Data Scientist with a background primarily in the healthcare industry. Paul applies statistics and machine learning in multiple areas of industry, focusing on projects in process engineering, process improvement, metrics and business rules development, anomaly detection, forecasting, clustering and classification. Paul holds a Master of Science in Data Science from Southern Methodist University.
Read more about Paul N Adams

Stuart J Miller

Stuart Miller is a Machine Learning Engineer with degrees in Data Science, Electrical Engineering, and Engineering Physics. Stuart has worked at several Fortune 500 companies, including Texas Instruments and StateFarm, where he built software that utilized statistical and machine learning techniques. Stuart is currently an engineer at Toyota Connected helping to build a more modern cockpit experience for drivers using machine learning.
Read more about Stuart J Miller

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You're reading from Building Statistical Models in Python

Tests with more than two groups and ANOVA

Multiple tests for significance

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