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
Statistics
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