In which I compare t curves with Brazilian butt lifts.

OK. This wasn't my original idea, but I love it so much that I'm blogging about it. The original idea came from Dr. Andrea Sell, who, in turn, got this idea from one of her brilliant student, Johanna Perez.

How t distributions are like Brazilian Butt Lifts: A treatise.

First, familiarize yourself with the Brazilian Butt Lift:

The shape and proportion of the buttocks are important factors in an attractive, well-proportioned body. With Brazilian butt lift surgery, a skilled cosmetic surgeon can use specialized fat transfer techniques to achieve a fuller, rounder buttock contour.

The fat doesn't leave. As illustrated below, the fat just moves...into the tail.

https://ariamedtour.com/blogs/why-is-bbl-popular/

Is this not what William Gosset did when he created the t-curve? Instead of moving around fat, he moved around probability under the normal curve. He moved that probability into the tails. Both Igo Pitanguy (inventor of the Brazilian Butt Lift) and William Gosset (inventor of the t-test) moved things around as to...CREATE A THICKER (thiccer?) TAIL. THIS IS SUCH A PERFECT METAPHOR. See:

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Ways to use funny meme scales in your stats classes

Have you ever heard of the theory that there are multiple people worldwide thinking about the same novel thing at the same time? It is the multiple discovery hypothesis of invention . Like, multiple great minds around the world were working on calculus at the same time. Well, I think a bunch of super-duper psychology professors were all thinking about scale memes and pedagogy at the same time. Clearly, this is just as impressive as calculus. Who were some of these great minds? 1) Dr. Molly Metz maintains a curated list of hilarious "How you doing?" scales. 2) Dr. Esther Lindenström posted about using these scales as student check-ins. 3) I was working on a blog post about using such scales to teach the basics of variables. So, I decided to create a post about three ways to use these scales in your stats classes: 1) Teaching the basics of variables. 2) Nominal vs. ordinal scales. 3) Daily check-in with your students. 1. Teach your students the basics...

Leo DiCaprio Romantic Age Gap Data: UPDATE

Does anyone else teach correlation and regression together at the end of the semester? Here is a treat for you: Updated data on Leonardo DiCaprio, his age, and his romantic partner's age when they started dating. A few years ago, there was a dust-up when a clever Redditor r/TrustLittleBrother realized that DiCaprio had never dated anyone over 25. I blogged about this when it happened. But the old data was from 2022. Inspired by this sleuthing, I created a wee data set, including up-to-date information on his current relationship with Vittoria Ceretti, so your students can suss out the patterns that exist in this data.

If your students get the joke, they get statistics.

Gleaned from multiple sources (FB, Pinterest, Twitter, none of these belong to me, etc.). Remember, if your students can explain why a stats funny is funny, they are demonstrating statistical knowledge. I like to ask students to explain the humor in such examples for extra credit points (see below for an example from my FA14 final exam). Using xkcd.com for bonus points/assessing if students understand that correlation =/= causation What are the numerical thresholds for probability? How does this refer to alpha? What type of error is being described, Type I or Type II? What measure of central tendency is being described? Dilbert: http://search.dilbert.com/comic/Kill%20Anyone Sampling, CLT http://foulmouthedbaker.com/2013/10/03/graphs-belong-on-cakes/ Because control vs. sample, standard deviations, normal curves. Also,"skewed" pun. If you go to the original website , the story behind this cakes has to do w...

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