In this week’s episode Greg and Patrick talk, for the third time, about power analysis, drawing on a recent paper by Greg and Yi Feng at UCLA, that reminds us how little we actually know when sample size planning, and then offers a concrete, cautious strategy for planning in the face of that uncertainty. Along […]
S7E14 Sample Size Planning: The Groundhog Day Episode Read More »
In this week’s episode, marking the fifth Quantitude Holiday Celebration, Greg and Patrick argue about their favorite holiday movies, including whether Die Hard counts as one or not; they then proceed to discuss several statistical ideas that also seem to Die Hard. Along the way they talk about so much gibberish that we don’t even
S5E11 Statistical Ideas That Die Hard Read More »
In this week’s episode Greg and Patrick discuss how we might flip the traditional null and alternative hypothesis testing procedures to move us from tests of literal equality to tests of practical equivalence. Along the way they also discuss tough love, horseshoes and hand-grenades, Patrick’s Driving School, Cheyenne Mountain, So Long and Thanks For All
S4E15 Flipping Our Hypotheses to Test Equivalence Read More »
In today’s episode, Patrick and Greg talk about those critical distributions that often go un-discussed — noncentral distributions — including their relation to the more familiar central distributions, their role in power and sample size determination, and how they are used in assessing data-model fit. Along the way they also mention back porch reading, latent
S4E11 The Centrality of Noncentral Distributions Read More »
