Parametric tests (such as t or ANOVA) differ from nonparametric tests (such as chi-square) primarily in terms

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Parametric tests (such as t or ANOVA) differ from nonparametric tests (such as chi-square) primarily in terms of the assumptions they require and the data they use. Explain these differences.

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Essentials Of Statistics For The Behavioral Sciences

ISBN: 9781133956570

8th Edition

Authors: Frederick J Gravetter, Larry B. Wallnau

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Question Posted: Sep 22, 2015 09:02 AM

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Parametric tests (such as t or ANOVA) differ from nonparametric tests (such as chi-square) primarily in terms

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Nonparametric tests make few if any assumptions about the populations from which the ...View the full answer

Essentials Of Statistics For The Behavioral Sciences

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