Interpreting the results of a paired t-test


There are several advantages of using a paired t-test. Since the same subjects are being tested in each of the varying conditions, those subjects serve as their own control. This is a major advantage as you need not consider potential differences between the subjects in the control group and the subjects who are in the experimental group. Elaborate on this concept by providing examples in which you do and do not have the same subjects serving as their own control.

There are also potential problems associated with interpreting the results of a paired t-test. Imagine you are interested in determining whether an employee of a company performs better with or without a bonus. What are some issues that could affect the results if you have the same subjects tested in both situations?

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Basic Statistics: Interpreting the results of a paired t-test
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