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

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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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Statistics For The Behavioral Sciences

ISBN: 9781111830991

9th Edition

Authors: Frederick J Gravetter, Larry B. Wallnau

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Question Posted: Mar 21, 2018 06:40 AM

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

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

Statistics For The Behavioral Sciences

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