Respuesta :
Option D is the correct answer. Paired samples t-test is the same as the dependent t-test, but different from one sample z-test.
The dependent t-test also called the paired t-test or paired-samples t-test compares which means the two related groups to determine whether there is a statistically significant difference between these means.
The T-test is defined as a univariate hypothesis test that is based on a t-statistic, On the other side, Z-test is also a univariate test that is based on a standard normal distribution.
There is a small comparison between the t-test and z-test:
- T-test refers to a type of parametric test that is applied to identify, how the means of two sets of data differ from one another when variance is not given.
- Z-test implies a hypothesis test that ascertains if the means of two datasets are different from each other when variance is given.
- The T-test is Based on Student-t distribution whereas z-Test depends on Normal distribution
- The Population variance of the t-test is Unknown and for the z-test, it is known, and the Sample Size is Small for the t-test for the z-test size is Large.
To know more about T-test and Z-test:
https://brainly.com/question/14018998
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