As the start of the research methods module I teach is fast approaching, I have been exploring new ways to try and get students more engaged with statistics. One aspect I believe increases student understanding—and dare I say it, enjoyment—of statistics is to get their hands dirty with lots of examples.
Although it would be great to get students to go off and collect lots of different data sets, each suitable for exploring a particular statistical test, a quicker alternative is perhaps to provide the data via computational simulation. Then, students can quickly explore new data sets in interesting ways. Continue reading