<p>Did you know that, upon closer inspection, many a statistical test will reveal that <a href= "https://lindeloev.github.io/tests-as-linear/" target="_blank" rel= "noopener">"it's just a linear model"</a> (<a href= "https://x.com/search?q=%23IJALM" target="_blank" rel= "noopener">#IJALM</a>)? That wound up being a key point that our go-to statistician, <a href= "https://www.linkedin.com/in/chelseaparlettpelleriti/" target= "_blank" rel="noopener">Chelsea Parlett-Pelleriti</a>, 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!</p> <p>For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the <a href= "https://analyticshour.io/2025/08/05/277-anova-i-hardly-know-ya-with-chelsea-parlett-pelleriti/"> show page</a>.</p>

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

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