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Author Question: What is the primary difference between parametric and nonparametric tests of significance? (Read 410 times)

stananza

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What is the primary difference between parametric and nonparametric tests of significance?

Nonparametric tests are involved with populations that have no parameters.


Nonparametric tests involve only interval data, whereas parametric tests involve only ordinal data.


Nonparametric tests do not have hypotheses based on population parameters or assumptions based on the distributions of populations from which the samples are drawn.


Nonparametric tests do not make any distributional assumptions throughout the entire process.



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Marked as best answer by stananza on Feb 26, 2023

senorfranco

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stananza

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Reply 2 on: Feb 26, 2023
Gracias!


kjohnson

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Reply 3 on: Yesterday
YES! Correct, THANKS for helping me on my review

 

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