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Questions › JNU › JNU SSS 2021 › Q86
1 markStatistics › Hypothesis testing › p-values, significance and non-parametric testsModerateabout 1 min

JNU SSS 2021 Question 86: Hypothesis testing

Given testing for H0H_0H0​: μ1=μ2\mu_1 = \mu_2μ1​=μ2​, and test statistic ∣xˉ−yˉ∣(σ1n1+1n2)\dfrac{|\bar{x}-\bar{y}|}{\left(\sigma\sqrt{\frac{1}{n_1}+\frac{1}{n_2}}\right)}(σn1​1​+n2​1​​)∣xˉ−yˉ​∣​ . which nonparametric test will be applied for this case if data is not normal?

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Given testing for H₀: μ₁ = μ₂, and test statistic (|x̄-ȳ|)/((σ√(1/n₁+1/n₂))). which nonparametric test will be applied for this case if data is not normal? (A) Wilcoxon rank sum test (B) Wilcoxon sign rank test (C) Kruskal wallis test (D) Wilson

Also written as: Given testing for H_0: mu_1 = mu_2, and test statistic (|x_bar-y_bar|)/((sigmasqrt(1/n_1+1/n_2))). which nonparametric test will be applied for this case if data is not normal?

Hypothesis testing has come up 47 times in 7 exams since 2007.

What this question tests

This question is on p-values, significance and non-parametric tests, part of Hypothesis testing in Statistics.

Reading a p-value, the limits of significance, and tests that do not assume a distribution.

TestStop has 10 past-paper questions on this subtopic.

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