IPA: /nɒnˈpærəˌmɛtrɪk/
KK: /nɑnˈpærəˌmɛtrɪk/
Not based on fixed assumptions about the distribution of data, allowing for more flexibility in statistical analysis.
Nonparametric methods are often used when the data does not meet the assumptions required for parametric tests.
Nonparametric → It is formed from "non-" (meaning not) and "parametric" (from Greek "parametron", meaning a measure or parameter). The word "nonparametric" refers to methods or models that do not assume a specific form for the distribution of the data, hence not relying on parameters.
Think of 'not' ('non-') relying on specific 'measures' ('parametric') — that's why nonparametric methods do not depend on fixed parameters.