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Answer: Paired t-test with a two-tail option
The correct answer is D (Paired t-test with a two-tail option) based on the question requirements and community consensus. The question describes comparing 'estimated values' with 'reference values,' which implies a natural pairing between datasets (e.g., predicted vs. actual values), making a paired t-test appropriate. Additionally, the requirement for a 'constant Type I error as a function of correlation' aligns with the paired t-test's ability to account for correlation within pairs. The two-tail option is necessary because the estimated values 'may be more than or less than' the reference values, indicating a two-sided hypothesis test. Community discussion supports this, with the highest upvoted comments (e.g., David_Tadeu with 5 upvotes, mhall1 with 19 upvotes) emphasizing the paired nature due to the relationship between estimated and reference values and the need for a two-tailed test to detect differences in either direction. Alternatives like unpaired tests (A, B) are less suitable as they assume independent datasets, which contradicts the implied pairing. The one-tail option (C) is incorrect because it tests for differences in only one direction, while the question specifies differences in both directions.
Author: LeetQuiz Editorial Team
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You are using Azure Machine Learning Studio to determine if two sets of data are significantly different. The estimated values in one set may be greater than or less than the reference values in the other set. You need to produce a distribution that maintains a constant Type I error rate regardless of the correlation.
Which type of distribution should you produce?
A
Unpaired t-test with a two-tail option
B
Unpaired t-test with a one-tail option
C
Paired t-test with a one-tail option
D
Paired t-test with a two-tail option