#277: ANOVA? I Hardly Know Ya'! with Chelsea Parlett-Pelleriti

The Analytics Power Hour

Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

4M ago 1:00:29

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Did you know that, upon closer inspection, many a statistical test will reveal that "it's just a linear model" (#IJALM)? That wound up being a key point that our go-to statistician, Chelsea Parlett-Pelleriti, made early and often on this episode, which is the next installment in our informally recurring series of shows digging into specific statistical methods. The method for this episode? ANOVA! As a jumping off point to think about how data works—developing intuition about mean and variance (and covariates) while dipping our toes into F-statistics, family-wise error rates (FWER), and even a little Tukey HSD—ANOVA's not too shabby!

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

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