👉 Non-normality is a statistical concept in which data does not follow a normal distribution. This means that there are outliers, extreme values, or unusual patterns in the dataset. Non-normality can be caused by various factors such as missing data, outliers, skewed distributions, or non-numeric variables. In other words, it describes the lack of a continuous distribution of data points.
