What Happens if the Significance Level is Not Met?
If the significance level is not met (i.e., the p-value is greater than the chosen significance level), it implies that the test results are not statistically significant. In such cases, marketers should consider that the observed differences between the test and control groups may be due to random chance, and they should avoid making changes based on these results.