Originally published at: Online Experimentation and A/B Testing | Data Science Dojo Tutorials
In this meetup, we provide a quick introduction to online experimentation and A/B testing.
To keep the tutorial self-contained, we will first give an overview of stats fundamentals needed to understand A/B testing. We then explain how A/B testing is done in an online business. We will conclude by mentioning some of the pitfalls that are common when running online experiments.
What is A/B Testing?
· A/B testing on web traffic
· A/B testing on newsletter and email
· A/B testing vs. multivariate testing
Online Experimentation Fundamentals
· Understanding the terminology. Control, treatment, factor, level, A/B, A/A
· Null and alternate hypothesis. Type I and Type II error
· Power and sample size selection. Confidence intervals
· Metrics for evaluation and categories
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