This dataset example introduces readers to the Wilcoxon signed-rank test. This technique allows researchers to test whether there is a difference between two related groups of measurements. Hence, it is commonly used to study any change in the subjects from one time point to another, or to compare the effects of different treatments/conditions. This example uses a subset of data from the College Scorecard Data from the U.S. Department of Education. It examines any change in the cost of attendance between the years 2009 and 2013 across U.S. public colleges. Results from an analysis like this could help students make knowledgeable decisions when choosing colleges and informed investments in education.In this example, readers are introduced to the basic theory and assumptions underlying this technique, the type of question this technique can be used to answer, and how to produce and report results. The sample dataset has been cleaned and organized to make this example easier to follow. Interested readers should read the full documentation for the dataset before using it for research (https://collegescorecard.ed.gov/data/).

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