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Title: Nonparametric tests can be appropriate for quantitative data when: Post by: Jimmyhighroller on Feb 19, 2023 Nonparametric tests can be appropriate for quantitative data when: ▸ one or more of the assumptions underlying a particular parametric statistical test has been violated. ▸ the sample size is very large. ▸ the underlying population can be assumed to be normally distributed. ▸ all of the assumptions for a particular parametric statistical test have been met. Title: Re: Nonparametric tests can be appropriate for quantitative data when: Post by: cheesoslimo on Feb 19, 2023 Content hidden
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