Describe the assumptions of parametric and non-parametric statistics.

Parametric statistics is based on assumptions about the underlying population from which a sample is drawn. The following are the key assumptions of parametric statistics:

1. Normality: The data should be normally distributed in the population. This assumption is crucial because many of the parametric tests, such __________ ___ _____ _______ _____ ___ ____ _____.
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