A/B Testing

Practical toolkit for running A/B tests — from sample size calculation to decision making.

Notebooks

#	Notebook	What's inside
1	BasicStatistics	Distributions, point estimates, estimator properties
2	BasicPandas	DataFrame operations for experiment data
3	SampleSizeCalculation	Power analysis, MDE, test duration planning
4	HypothesisTesting	Z-test, t-test, Mann-Whitney, chi-square, Bonferroni
5	ABTestAnalysis	End-to-end analysis: sanity checks → test → business impact → decision

See CHECKLIST.md — step-by-step checklist for before, during, and after the test.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
.gitattributes		.gitattributes
ABTestAnalysis.ipynb		ABTestAnalysis.ipynb
BasicPandas.ipynb		BasicPandas.ipynb
BasicStatistics.ipynb		BasicStatistics.ipynb
CHECKLIST.md		CHECKLIST.md
HypothesisTesting.ipynb		HypothesisTesting.ipynb
README.md		README.md
SampleSizeCalculation.ipynb		SampleSizeCalculation.ipynb