model fit

S4E22 April Fools! The Quantitative Things That Fool Us

In honor of April Fool’s Day, this week’s episode is about being fooled, specifically quantitative things that can fool you, accompanied by some classic songs about being fooled.  Along the way, Greg and Patrick also discuss ukus, the spaghetti harvest, sucker!, meet the new boss, traditions of doing things wrong, naked garbage bag poker, old […]

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S4E11 The Centrality of Noncentral Distributions

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

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