Paired Samples T-Test Use Case - TIBCO Product Documentation

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For more information about the paired samples t-test, see T-Test - Paired Samples.

The difference between the paired sample t-test and the Independent Samples t-test is that in the paired test, the two samples are usually from the same data set, or closely correlated.

Paired sample t-tests can be used for before-and-after studies, such as looking at a student's test scores both before and after a course. (source) For example, see the below sample data from a puppy training program that measures the skills of the puppies before they enter the program and after the program. We might want to ask if training actually improves the puppies' scores. We could do this by running a Paired Samples t-test on the Score Before Training and the Score After Training columns. Our null hypothesis is that the mean of the difference in the values between the two columns is not statistically different from zero. We would reject the null hypothesis if the Upper One Tailed p-value is less than 0.05.

Puppy ID Trainer Name Score Before Training Score After Training
123 Rachel 9.5 12.5
124 Jenny 11.6 13.8
125 Jenny 11.1 12.9

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