What is it?

A confidence interval is a range of values that estimates where the true performance of a metric is likely to fall. It provides context around uncertainty rather than a single point estimate.

Confidence intervals are often used alongside statistical significance.

Examples in Action

• Understanding variability in test results
  
• Comparing overlapping performance ranges
  
• Communicating uncertainty to stakeholders
  
• Evaluating risk when implementing changes
  

Typical Outcomes / Results

• More nuanced interpretation of results
  
• Better communication of uncertainty
  
• Improved decision-making under variability
  
• Reduced overconfidence in marginal outcomes
  

This glossary entry reflects standard analytical practices in statistics and experimentation.