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1. What is a non-parametric test? 2. What are the advantages and disadvantages of these tests?

1. What is a non-parametric test?
2. What are the advantages and disadvantages of these tests?

Math   Statistics-And-Probability   
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Answer #1

Solution:

1. Non-parametric tests are also called distribution-free tests. Such hypothesis tests are not based on any assumptions regarding the distribution of the population.

2. The advantages of non- parametric test are:

No assumptions are required regarding the distribution of the population.

These tests are useful when dealing with unexpected and outlying data.

Disadvantages of non-parametric tests:

Such tests may lack power compared to their parametric counterparts.

Usually more time consuming than the parametric tests

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