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Description
Goal
Implement Z-test and t-test for conversion rate comparison.
Learn
- Null hypothesis, alternative hypothesis
- Type I and Type II errors
- p-values and what they actually mean
- When to use Z-test vs t-test
Deliverable
- Python implementation with worked examples
- Visual explanations of distributions
Proof Point
Can explain why p=0.03 doesn't mean "3% chance we're wrong".
Directory
experimentation/01-hypothesis-testing/
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