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Author Question: What is the primary difference between parametric and nonparametric tests of significance? (Read 417 times)

stananza

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on: Feb 26, 2023
What is the primary difference between parametric and nonparametric tests of significance?

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Nonparametric tests are involved with populations that have no parameters.


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


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


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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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Reply #1 on: Feb 26, 2023
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stananza

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Reply 2 on: Feb 26, 2023
Wow, this really help

Mochi

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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