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Hands-On Data Science and Python Machine Learning

You're reading from   Hands-On Data Science and Python Machine Learning Perform data mining and machine learning efficiently using Python and Spark

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787280748
Length 420 pages
Edition 1st Edition
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Author (1):
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Frank Kane Frank Kane
Author Profile Icon Frank Kane
Frank Kane
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Table of Contents (11) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Statistics and Probability Refresher, and Python Practice 3. Matplotlib and Advanced Probability Concepts 4. Predictive Models 5. Machine Learning with Python 6. Recommender Systems 7. More Data Mining and Machine Learning Techniques 8. Dealing with Real-World Data 9. Apache Spark - Machine Learning on Big Data 10. Testing and Experimental Design

T-test and p-value

How do you know if a change resulting from an A/B test is actually a real result of what you changed, or if it's just random variation? Well, there are a couple of statistical tools at our disposal called the t-test or t-statistic, and the p-value. Let's learn more about what those are and how they can help you determine whether an experiment is good or not.

The aim is to figure out if a result is real or not. Was this just a result of random variance that's inherent in the data itself, or are we seeing an actual, statistically significant change in behavior between our control group and our test group? T-tests and p-values are a way to compute that.

Remember, statistically significant doesn't really have a specific meaning. At the end of the day it has to be a judgment call. You have to pick a probability value that you're going to...
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