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Answer: You have a matched pairs of scores., The sampling distribution of d is normal.
The correct conditions for a paired t-test are B and C. Option B ('You have a matched pairs of scores') is essential as paired t-tests require paired observations (e.g., measurements from the same subject before and after treatment). Option C ('The sampling distribution of d is normal') is correct because 'd' represents the differences between paired scores, and normality of these differences is a key assumption. Option A is incorrect because it states 'All scores are independent from each other,' but in paired t-tests, scores within pairs are dependent; the correct condition is that each pair is independent of other pairs. Option D ('The sampling distribution of x1- x2 is normal') is redundant and misleading; 'x1-x2' refers to the same differences as 'd' in option C, but D is often associated with unpaired t-tests, making it less precise. The community discussion strongly supports BC, with high upvotes for comments citing official Microsoft documentation and clarifying that A and D are not accurate for paired t-tests.
Author: LeetQuiz Editorial Team
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You are using Azure Machine Learning Studio to determine if two datasets differ significantly by performing a paired t-test.
Which of the following conditions must be met to use a paired t-test? (Select all that apply.)
A
All scores are independent from each other.
B
You have a matched pairs of scores.
C
The sampling distribution of d is normal.
D
The sampling distribution of x1- x2 is normal.
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