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Statistical models used by A/B testing solutions vary greatly. To interpret your test results with accuracy, you need to be well-versed in the approach your testing solution uses to calculate significance. In this webinar Optimizely stats experts will provide a hard-nosed look at a range of statistical models, the risks and tradeoffs associated with each and explain how not all models are created equal.

Watch this on-demand webinar to learn:

  • How testing solutions use Frequentist and Bayesian models to compute significance
  • A refresh on core statistical concepts including significance, error, and more
  • How Optimizely‚Äôs Stats Engine mitigates risk while allowing experimenters to make decisions quickly

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Sara Vafi

Sara Vafi

Enterprise Rep & Stats Specialist

Optimizely

Shana Rusonis

Shana Rusonis

Product Marketing Manager

Optimizely

 

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