Nonparametric or distribution-free statistical procedures make no assumptions about the form of the underlying distribution other than it is continuous. A) True B) False
When you have a choice between using a parametric test or a nonparametric test, you are better to choose the non-parametric test because it will be more efficient and be a higher power test. A) True B) False
Because, basically distinction is that parametric procedures make demanding, relatively narrow assumptions about the probability distributions from which empirical observations arise; the most common such distributional assumption is that of normality.
Nonparametric methods, in contrast, do not make specific distributional assumptions of this kind.
so it is confidence interval method
Option :(a)
Nonparametric tests are sometimes called distribution-free tests.
Because, they are based on fewer assumptions.Parametric tests involve specific probability distributionsand the tests involve estimation of the key parameters of that distribution from the sample data.
The cost of fewer assumptions is that nonparametric tests are generally less powerful than their parametric counterparts
Option :(a)
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