You are determining if two sets of data are significantly different from one another by using Azure Machine Learning Studio.
Estimated values in one set of data may be more than or less than reference values in the other set of data. You must produce a distribution that has a constant
Type I error as a function of the correlation.
You need to produce the distribution.
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








 

Suggested Answer: D

Choose a one-tail or two-tail test. The default is a two-tailed test. This is the most common type of test, in which the expected distribution is symmetric around zero.
Example: Type I error of unpaired and paired two-sample t-tests as a function of the correlation. The simulated random numbers originate from a bivariate normal distribution with a variance of 1.
 
Reference: alt="Reference Image" />
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/test-hypothesis-using-t-test
 https://en.wikipedia.org/wiki/Student%27s_t-test

This question is in DP-100 Exam
For getting Microsoft Azure Data Scientist Associate Certificate


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