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Question

What is the primary difference between parametric and non-parametric tests?

a.

Parametric tests are used for discrete data, while non-parametric tests are used for continuous data.

b.

Parametric tests make assumptions about the distribution of data, while non-parametric tests make no assumptions.

c.

Parametric tests are more resistant to outliers than non-parametric tests.

d.

Parametric tests are more powerful than non-parametric tests.

Answer: (b).Parametric tests make assumptions about the distribution of data, while non-parametric tests make no assumptions. Explanation:Parametric tests make assumptions about the distribution of data, such as normality, while non-parametric tests make no assumptions about the distribution and are based purely on the ranking of data.

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Q. What is the primary difference between parametric and non-parametric tests?

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