👉 In statistics, a rejection is when a statistical test fails to reject the null hypothesis and instead finds evidence that supports the alternative hypothesis. This behavior occurs when there are too many cases in favor of the alternative hypothesis compared to the null hypothesis. Non-rejection testing is used when you want to determine if your data meets the criteria for rejecting a null hypothesis or not, but you don't have enough data to reject the null hypothesis. For example, suppose you're conducting an experiment and collect data that shows
