The process where a major change that would be considered objectionable if it happened in a single step is gradually reached by a series of less noticeable smaller changes.

In statistics, normality tests are used to determine if a data set is well-modeled by a normal distribution and to compute how likely it is for a random variable underlying the data set to be normally distributed.