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Author Question: Nonparametric tests can be appropriate for quantitative data when: (Read 327 times)

kaitlynndavis

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on: Feb 26, 2023
Nonparametric tests can be appropriate for quantitative data when:

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one or more of the assumptions underlying a particular parametric statistical test has been violated.


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the sample size is very large.


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the underlying population can be assumed to be normally distributed.


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all of the assumptions for a particular parametric statistical test have been met.

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Marked as best answer by kaitlynndavis on Feb 26, 2023

sakura282000

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Reply #1 on: Feb 26, 2023
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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kaitlynndavis

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Reply 2 on: Feb 26, 2023
Great answer, keep it coming :)

ryansturges

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Reply 3 on: Yesterday
Gracias!

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