Statistics for A/B testing – ConversionXL, Georgi Georgiev

Keywords List

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Summary

• Become great at statistics for A/B testing Avoid costly testing mistakes stemming from misuse and misunderstanding of statistic If you’re not fluent in A/B testing statistics, you won’t be able to tell whether your tests suck.

• A lot of your “winning” tests are probably not winners at all.

• Learn to call bullshit when needed, and be the person who advocates proper scientific approach in your team.

• In 10 sessions, you’ll learn How to run A/B tests with a sound statistical design in a variety of scenarios – multiple test variants, multiple outcomes, non-binomial data, and others.

• How to align the statistical design with the questions at hand to get business insights while avoiding common mistakes.