Asked by Brianna Kayla on May 29, 2024

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Under what condition is a permutation test for comparing two populations valid?

A) The populations have the same mean under the null hypothesis.
B) The populations are identical under the null hypothesis.
C) The two populations have the same standard deviation under both the null and alternative hypotheses.
D) Under all circumstances-the permutation test does not require any particular assumptions and hence is very powerful.

Permutation Test

A non-parametric statistical test that assesses the significance of the difference between groups by rearranging the data points among the groups many times and calculating the differences for each rearrangement.

Null Hypothesis

A statement suggesting that there is no significant difference or effect, and any observed difference is due to chance.

Identical Populations

Populations in statistical studies that have exactly the same characteristics, distributions, and parameters.

  • Understand the principles and validity conditions of permutation tests compared to other statistical tests.
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KS
karmeet singhMay 31, 2024
Final Answer :
B
Explanation :
In a permutation test, the null hypothesis is that the two populations are identical. Thus, the test is only valid under this condition. Choice A is incorrect because the populations may have different means under the null hypothesis. Choice C is incorrect because the standard deviation can vary between the two populations. Choice D is incorrect because permutation tests do make assumptions about the null hypothesis.