When should a paired t-test be performed instead of a two-sample t-test?

When should a paired t-test be performed instead of a two-sample t-test?

A paired t-test should be performed instead of a two-sample t-test when each observation in one group categorical sample are dependent. independent of each other. the data in each population are not normally distributed. has a dependence on a particular observation in the other group.

What is t-test and paired t-test?

A paired t-test is used when we are interested in the difference between two variables for the same subject. Often the two variables are separated by time. Since we are ultimately concerned with the difference between two measures in one sample, the paired t-test reduces to the one sample t-test.

When should we use a paired t test?

Paired t-tests are used when the same item or group is tested twice, which is known as a repeated measures t-test. Some examples of instances for which a paired t-test is appropriate include: The before and after effect of a pharmaceutical treatment on the same group of people.

When is it appropriate to use the paired difference t test?

The paired t test is generally used when measurements are taken from the same subject before and after some manipulation such as injection of a drug. For example, you can use a paired t test to determine the significance of a difference in blood pressure before and after administration of an experimental pressor substance.

When to use a paired t test?

The paired t-test is used when the variable is numerical in nature (for example, the height of a person or the weight of a person) and the individuals in the sample are either paired up in some way (such as a husband and wife) or the same people are used twice (for example, preprocedure and postprocedure).

What are t-tests for independent and paired samples?

Two-sample t-tests for a difference in mean involve independent samples (unpaired samples) or paired samples. Paired t-tests are a form of blocking, and have greater power than unpaired tests when the paired units are similar with respect to “noise factors” that are independent of membership in the two groups being compared.