I need a discussion post for the below... Only pick one topic Choose one of the

Question

I need a discussion post for the below... Only pick one topic

Choose one of the following three questions and post your answer:

1. In your own words, what is a nonparametric test? What is a parametric test (Section 13-2)?
2. In your own words, identify an advantage of using rank correlation instead of linear correlation (Section 13-6).
3. In your own words, what is the difference between a nonparametric test and a distribution-free test (Section 13-7)?

Please respond to my discussion question by clicking on the Reply button after this section. When you reply to another student’s comments, click on Reply after their comments.

EXAMPLE:
Hello! I will take number 1. A nonparametric test does not require that the samples are coming from a normal distribution, while a parametric test does.

Explanation / Answer

Solution:-) Parameteric test:-

The parameteric test is the one in which we have information about population parameter and we make inferences about the parameters of interest about population.

Example:-  For example, if you have parametric data from two independent groups, you can run a 2 sample t test to compare means. The tests include in this test are ANOVA and t-test.

Non-Parameteric test:-

The non-parameteric test is defined as hypothesis test which is not based on underlying assumption means does not require the distribution of population.

Example:- If you have nonparametric data, you can run a Wilcoxon rank-sum test to compare means.

Fundamental Differences between Parameteric and Non- Parameteric test.

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