What is Statistical Significance and Why is it Important?
Statistical significance indicates whether the difference in performance between your A/B test versions is likely to be real or if it could have occurred by random chance. A commonly accepted threshold for statistical significance is a p-value of less than 0.05, meaning there is less than a 5% chance that the observed differences are due to randomness. Understanding statistical significance helps ensure that your decisions are based on reliable data.