👉 Non-normality is a statistical concept that describes how variables in a dataset deviate from their expected values, even when they are normally distributed. It can be seen as a measure of how much the data deviates from its mean. Non-normal distributions can occur for various reasons, such as outliers or extreme values, which can affect the interpretation of the results.
