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Java Data Science Cookbook

You're reading from   Java Data Science Cookbook Explore the power of MLlib, DL4j, Weka, and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787122536
Length 372 pages
Edition 1st Edition
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Author (1):
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 Shams Shams
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Shams
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Table of Contents (16) Chapters Close

Java Data Science Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Obtaining and Cleaning Data FREE CHAPTER 2. Indexing and Searching Data 3. Analyzing Data Statistically 4. Learning from Data - Part 1 5. Learning from Data - Part 2 6. Retrieving Information from Text Data 7. Handling Big Data 8. Learn Deeply from Data 9. Visualizing Data

Conducting a paired t-test


Among the number of standard statistical significance test libraries offered by Apache Commons Math, we will be using only a few to demonstrate paired the t-test, Chi-square test, one-way ANOVA test, and the Kolmogorov-Smirnov test. Readers can carry out other significance tests as the codes will use the static methods in the TestUtils class to execute tests.

Apache Commons Math has support for both one-sample and two-sample t-tests. Besides, two sample tests can be either paired or unpaired. The unpaired two-sample tests can be conducted with and without the assumption that the subpopulation variances are equal.

How to do it...

  1. Create a method that takes two sets of double values as arguments. We will be conducting a paired t-test to find out any statistical significance between these two sets of values:

            public void getTtest(double[] sample1, double[] sample2){ 
    
  2. The t-statistic of the two distributions can be found using the pairedT() method:

            System...
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