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You're reading from  R Statistics Cookbook

Product typeBook
Published inMar 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789802566
Edition1st Edition
Languages
R
Tools
ggplot
Concepts
Statistics
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Author (1)
Francisco Juretig
Francisco Juretig
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Francisco Juretig

Francisco Juretig has worked for over a decade in a variety of industries such as retail, gambling and finance deploying data-science solutions. He has written several R packages, and is a frequent contributor to the open source community.
Read more about Francisco Juretig

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Paired t-test

There is a variant of the t-test that can be used when the data is paired (this usually happens when we have two observations for each subject). For example, this may occur if we use a specific program and we want to evaluate its effectiveness by taking one measurement before and after the program is executed. The advantage of this is that the difference (after-before) truly represents the impact of the program that we are evaluating (we are making sure that any possible external variable has been filtered out).

This is much better than having just two samples, where one is taken before the policy was executed and another is one (with different individuals) taken after. If there are differences between those two samples, they might bring trouble to our test. For example, let's suppose that sample1 contains individuals that perform better at work, while sample2...

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R Statistics Cookbook
Published in: Mar 2019Publisher: PacktISBN-13: 9781789802566
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Francisco Juretig

Francisco Juretig has worked for over a decade in a variety of industries such as retail, gambling and finance deploying data-science solutions. He has written several R packages, and is a frequent contributor to the open source community.
Read more about Francisco Juretig

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