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Improving the User Experience through Practical Data Analytics by Paul D. Berger, Mike Fritz

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Chapter 3

Comparing two designs (or anything else!) using paired sample T-tests

Abstract

This chapter continues the basic issue addressed in the previous chapter, but considers the comparison of two means when you have dependent or paired samples. This usually means in practice that you have the same group of people comparing different “variables.” For example, you may be considering mean satisfaction level for two different designs, where each design is evaluated by the same sample of people. Or, the quantity of interest might be the time to complete a task, or a myriad of other variables. In all these cases, we use what is called the paired two-sample t-test. This chapter discusses and illustrates this technique and goes into detail instructing ...

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