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Eduncle posted an MCQ
October 16, 2019 • 15:50 pm 0 points
  • UGC NET
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Statement - I : When a null hypothesis is true but as per the hypothesis-testing, it is rejected; it is known as Type II error in hypothesis-testing.

Statement - I : When a null hypothesis is true but as per the hypothesis-testing, it is rejected; it is known as Type II error in hypothesis-testing. Statement - II : For testing the significance of the differences among the performance of more than two sample groups when the data are non-parametric, Kruskal-Wallis (H) test is appropriate.

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    Eduncle Best Answer

    In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a “false positive” finding or conclusion), while a type II error is the failure to reject a false null hypothesis (also known as a “false negative” finding or conclusion).
    Hence Statement I is incorrect.
    The Kruskal-Wallis H test (sometimes also called the “one-way ANOVA on ranks”) is a rank-based nonparametric test that can be used to determine if there are statistically significant differences between two or more groups of an independent variable on a continuous or ordinal dependent variable. It is considered the nonparametric alternative to the one-way ANOVA, and an extension of the Mann-Whitney U test to allow the comparison of more than two independent groups.
    Hence statement II is correct.

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