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Statistics · Intermediate · 5 h

Designing A/B tests

Sample sizes, power, guardrail metrics and the mistakes that make experiments lie.

Why employers care: Product companies run experiments weekly. Product analyst and data scientist interviews almost always include an A/B testing case.

In the roadmaps for: Data Analyst, Data Scientist, AI/ML Engineer

Lessons, in order

  1. Designing an A/B test that you can trustSample size, power, guardrails and stopping rules, worked through with real numbers.3 min

Next shelf: Regression for analysts