Question

What is a nonparametric​ test? How does a nonparametric test differ from a parametric​ test? What...

What is a nonparametric​ test? How does a nonparametric test differ from a parametric​ test? What are the advantages and disadvantages of using a nonparametric​ test?

What is a nonparametric test and how does a nonparametric test differ from a parametric​ test?

A.

A nonparametric test is a hypothesis test that does not require the population mean to be​ positive, unlike parametric​ tests, which require the population mean to be positive.

B.

A nonparametric test is a hypothesis test that requires the population to be normally​ distributed, unlike parametric​ tests, which require other population shapes.

C.

A nonparametric test is a hypothesis test that requires the population to be​ non-normally distributed, unlike parametric​ tests, which can take normally distributed populations.

D.

A nonparametric test is a hypothesis test that does not require any specific conditions concerning the shapes of populations or the values of population​ parameters, unlike parametric​ tests, which have such conditions.

What are the advantages and disadvantages of using a nonparametric​ test?

A.

A nonparametric test is usually more efficient than its corresponding parametric​ test, but the nonparametric test is usually more difficult to perform.

B.

A nonparametric test is usually easier to perform than its corresponding parametric​ test, but the nonparametric test usually has more conditions.

C.

A nonparametric test usually has fewer conditions than its corresponding parametric​ test, but the nonparametric test is usually more difficult to perform.

D.

A nonparametric test is usually easier to perform than its corresponding parametric​ test, but the nonparametric test is usually less efficient.

Math   Statistics-And-Probability   
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Answer #1

From the given information,

1.

A nonparametric test is a hypothesis test that does not require any specific conditions concerning the shapes of populations or the values of population​ parameters, unlike parametric​ tests, which have such conditions.

Hence, option D is correct.

2.

A nonparametric test is usually easier to perform than its corresponding parametric​ test, but the nonparametric test is usually less efficient.

Hence, option D is correct.

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