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.