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We have learned a lot about the parametric tests in this class and just scratched the...

We have learned a lot about the parametric tests in this class and just scratched the surface of the nonparametric types of tests. Which type of tests do you think are the most useful in the world (Parametric or nonparametric)? Please give at least two reasons why you made your choice.

Math   Statistics-And-Probability   
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Answer #1

Non-parametric tests are more useful in the real world because of the 2 reasons listed below: -

1) Small Sample Size: - Sometime one has to deal with a small sample size because of constraints such as lack of time to collect the data or can't run experiment for long. In such cases, it's hard to ascertain the distribution of data and hence, non-parametric would be a better choice to go ahead with.

2) Ordinal or rank data :- Many of the surveys contain ordinal or rank data which makes it difficult to use the parametric techniques since it only assess continuous data and hence, non-parametric shall be the only choice in such a case.

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