Uncommon Hypothesis Tests to Debunk Common Misconceptions

I gave a talk about p-values and hypothesis testing at BIDS. Please check out my slides! P-values get a large share of the blame for the replication crisis in science. People take for granted that the tests they use work without justifying the leap from data to model. Often, reported p-values are erroneous because the underlying model doesn't accurately describe the way the data arose.