Nonparametric Statistics

Nonparametric statistics are methods used to analyze data without assuming a specific underlying distribution, such as the bell-shaped curve of a normal distribution. They are useful when data do not meet traditional assumptions or when dealing with small sample sizes. These techniques focus on ranks or orderings rather than raw values, making them flexible for various data types. Nonparametric methods are often used in surveys, experiments, or ordinal data where traditional parametric tests might not be appropriate, providing reliable insights without strict assumptions about the data's distribution.