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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 class of one, statistical concepts as personality characteristics, double doink, Brilliant!, cocktail party banter, reaching into your d-bag, Minitab macros, sucking good practice out of your field, Patrick's most boring paper, before horses were invented, and throwing down your guitar.
Stay in contact with Quantitude!
By Greg Hancock & Patrick Curran5
221221 ratings
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 class of one, statistical concepts as personality characteristics, double doink, Brilliant!, cocktail party banter, reaching into your d-bag, Minitab macros, sucking good practice out of your field, Patrick's most boring paper, before horses were invented, and throwing down your guitar.
Stay in contact with Quantitude!

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