How to Code the Student’s t-Test from Scratch in Python
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Last Updated on August 8, 2019
Perhaps one of the most widely used statistical hypothesis tests is the Student’s t test.
Because you may use this test yourself someday, it is important to have a deep understanding of how the test works. As a developer, this understanding is best achieved by implementing the hypothesis test yourself from scratch.
In this tutorial, you will discover how to implement the Student’s t-test statistical hypothesis test from scratch in Python.
After completing this tutorial, you will know:
- The Student’s t-test will comment on whether it is likely to observe two samples given that the samples were drawn from the same population.
- How to implement the Student’s t-test from scratch for two independent samples.
- How to implement the paired Student’s t-test from scratch for two dependent samples.
Kick-start your project with my new book Statistics for Machine Learning, including step-by-step tutorials and the Python source code files for all examples.
Let’s get started.
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How to Code the Student’s t-Test
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