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Ryan Orban

Ryan Orban

Subject
2 entries

Sample Size

Bookmarks

  1. Fun with Stats: How Big of a Sample Size Do I Need?

    Julia Evans walks through sample size calculation for experiments, grounding statistical power and significance in a concrete worked example. A good entry point for engineers who run A/B tests but haven't internalized what sample size actually buys you.

  2. Deriving Formulas for Sample Size in A/B Tests

    Mathematical derivation of the expected sample size needed in A/B tests using frequentist power analysis. Derives the N formula from effect size, significance level (α), and power (1-β) — useful for anyone designing experiments who wants to understand where 'you need at least X users' comes from.

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