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Statistics & AB Testing

Statistics & AB Testing

33 of 69 Completed

Introduction to Statistics and A/B Testing
Hypothesis Testing
A/B Testing & Experiment Design
Confidence Intervals
A/B Testing Common Scenarios
A/B Testing Tradeoffs
Generalized Linear Models and Regression

Statistical Concepts

We’ll start with some concepts around hypothesis testing.

Hypothesis testing

Null hypothesis: There is no significant difference between populations that can’t be explained by chance or sampling error.

Alternative Hypothesis: There is a significant difference between populations.

Type 1/Type 2 Error (False Positive/False Negative): A type 1 error is a ‘false positive,’ or the rejection of a true null hypothesis. Conversely, a type 2

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