Statistical significance indicates whether an observed difference in performance is likely due to a real effect rather than random variation. It is commonly used to evaluate the results of experiments.
Statistical significance is typically expressed as a probability threshold.
Examples in Action
- Assessing whether a test result is conclusive
- Comparing performance between control and variant groups
- Evaluating outcome stability over time
- Determining whether to implement a tested change
Typical Outcomes / Results
- Increased confidence in decision-making
- Reduced likelihood of acting on noise
- Clearer distinction between signal and variation
- More disciplined experimentation practices
This definition reflects widely accepted statistical principles in experimentation.