Skip to main content
Support Help Center Help Center home page
AI OnAI Off
Developer documentation Developer community Optimizely Academy Submit a request Sign in
  1. Support Help Center
  2. Experimentation strategy
  3. Measure and analyze results
  4. Statistical concepts

Statistical concepts

Learn Optimizely's Stats Engine basics, including statistical significance, confidence and improvement intervals, false discovery rate control, outliers, and why results can change over time.

  • Statistical analysis methods overview
  • Configure a Frequentist (Fixed Horizon) A/B test
  • Frequentist (Fixed Horizon) statistics
  • Configure a Bayesian A/B test
  • Bayesian statistics
  • Statistical significance
  • Confidence intervals and improvement intervals
  • False discovery rate control
  • Optimizely's results page does not sample from your data
  • How and why statistical significance changes over time in Optimizely Experimentation
  • How Optimizely Experimentation handles outliers
  • Why Stats Engine results sometimes differ from traditional statistics results
  • Why is my experiment failing to reach statistical significance?
  • Calculate the statistical likelihoods of variations using Stats Engine
  • Stats Engine resources
Optimizely Website Support Policy Privacy Notice Website terms of use Cookie settings Trust center Third-Party Addons & Platforms
Deutsch