Parametric statistics (source code)

= Parametric statistics
{wiki=Parametric_statistics}

Parametric statistics refers to a category of statistical techniques that make specific assumptions about the parameters of the population distribution from which samples are drawn. These techniques typically assume that the data follows a certain distribution, most commonly the normal distribution. Key features of parametric statistics include: 1. **Assumptions**: Parametric tests often assume that the data is normally distributed, that variances are equal across groups (homogeneity of variance), and that the observations are independent.