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Probability & Statistics
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Statistical Inference
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Hypothesis testing
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577.
Parametric vs Non-Parametric Tests
hard
What is the key difference between a parametric and a non-parametric hypothesis test?
A
Parametric tests assume a specific distributional form for the data while non-parametric tests do not
B
Parametric tests can only be applied to continuous data while non-parametric tests handle all data types
C
Parametric tests are always more powerful than non-parametric tests regardless of sample size or distribution
D
Non-parametric tests require larger sample sizes than parametric tests to achieve equivalent statistical power
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