What is it?

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.