Parametric and non parametric test psychology
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In the literal meaning of the terms, a parametric statistical test is one that makes assumptions about the parameters (defining properties) of the population distribution(s) from which one's data are drawn, while a non-parametric test is one that makes no such assumptions
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Explanation:
Parametric Tests
A parametric test is a test whose show indicates certain conditions about the parameters of the populace from which the exploration test was drawn. Conditions include:
• The perceptions must be autonomous.
• The perceptions must be drawn from typically dispersed populaces.
• These populaces must have similar fluctuations.
• Factors included more likely than not been estimated in something like an interim scale.
Non-parametric Tests
A non-parametric factual test is a test whose show does NOT determine conditions about the parameters of the populace from which the example was drawn.
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