Which of the following is the correct null hypothesis for an independent-measures t test? A)μ1 - μ2 = 0 B)M₁ - M₂ = 0 C)μ1 - μ2 ≠ 0 D)M₁ - M₂ ≠ 0

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The correct null hypothesis for an independent-measures t test is that the mean score of one group (μ1) is equal to the mean score of the other group (μ2). Therefore, choice A, which represents this hypothesis in mathematical form (μ1 - μ2 = 0), is the best choice. Choices B and D are not valid hypotheses for an independent-measures t test as they refer to specific terms from the analysis of variance (ANOVA), which is a different statistical test. Choice C is not the correct null hypothesis for an independent-measures t test, as it represents a two-tailed alternative hypothesis rather than the null hypothesis.

Which of the Following Is the Correct Null Hypothesis for an Independent-Measures