Everybody involved in the design and interpretation of clinical trials should take this test

Posted over at Radford Neal's blog. Although (frequentist) t-tests and ANOVAs are probably the most common used statistical inferential tools, I've seen the results misinterpreted over and over. And those misinterpretations can lead to some apparent paradoxes, and recommendations based on the conclusion drawn too quickly can make research more confusing, and the job of the statistician harder.