nonparametric statistics
- noun
- /nɒnˌpærəˈmɛtrɪk stəˈtɪstɪks/
- Specialized
:
estadísticas no paramétricas
- When the sample failed these tests, nonparametric statistics (which do not require the assumption of normal distribution) were used for the statistical analysis.
Examples
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The perceived perception scores were not normally distributed, so those analyses were done using nonparametric statistics.
Academic text (2004) -
Researchers often turn to nonparametric statistics when they cannot assume that data follows a specific distribution.
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In cases where data does not meet the assumptions of parametric tests, analysts frequently rely on nonparametric statistics to draw valid conclusions.
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Many scientists prefer using nonparametric statistics because they provide more flexibility in handling various types of data distributions.
How Parametric
- Specialized
- Specialized
Surface Forms
Morphology
The phrase is directly compositional: 'nonparametric' (without parametric/distributional assumptions) modifies 'statistics', so the meaning is simply 'statistical methods that do not assume a particular parametric form'. This follows a standard adjective + noun pattern and would be understandable to a learner who already knows the constituent words and their technical senses.
Etymology
Nonparametric statistics comes from the idea of 'not using a fixed shape or fixed numbers' to describe data. Think of parametric methods as using a cookie cutter to force all data into one shape, while nonparametric methods leave the data free and do not use that cutter. That's why the term means 'analyzing data without assuming a specific model'.
