Pretty Stats Stock Images

Have you ever looked through stock images for data and statistics? They are fine. They aren't great, they aren't awful, they are just fine. Like, they either look like something from The Matrix:

Or like statisticians are magicians:

Some images are a combination of the first two, with a statistician-magician freeing himself from The Matrix:

Again, they aren't terrible but they aren't beautiful.

Lucky for you, I'm a magpie collecting interesting statistical things, including interesting statistics/data images accompanying news stories.

Many talented artists have created beautiful, abstract stats images to accompany their articles. They look very nice as a background on a PowerPoint, an opening page on Blackboard, or an image on a syllabus. Here are some of my favorites. I've included citations or where I found the images where I can and plan to reverse Google search the rest someday. Needless to say, I created none of this.

https://twitter.com/RetractionWatch/status/1332459268881178626?s=20

Various types of graph in behind a telescope

https://twitter.com/DD_NaNa_/status/1332715675828121602?s=20

http://www.karolinschnoor.co.uk/

by Rayomond Biesinger, http://fifteen.ca/

https://twitter.com/PaintedBraiNews/status/1334175758370156545

https://hbr.org/2020/12/covid-19-vaccine-trials-are-a-case-study-on-the-challenges-of-data-literacy

Getty Images, TCmake_photo

https://flowingdata.com/2021/02/04/process-125-uncertainty-words/

HBR Staff/MirageC/Getty Images

Beatrix Boros/ Stocksy

https://www.stuffthatworks.health/

iStock/Getty Images

An image expressing a metaphor for data analysis.

Found at: https://www.timeshighereducation.com/campus/spotlight/designing-assessments-support-deeper-learning

I think this looks like a confidence interval

Illustrator: Paul Blow

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.

Tyler Vigen's Spurious Correlations

Tyler Vigen has has created a long list of easy-to-paste-into-a-powerpoint graphs that illustrate that correlation does not equal causation. For instance, while per capita consumption of cheese and number of people who die by become tangled in their bed sheets may have a strong relationship (r = 0.947091), no one is saying that cheese consumption leads to bed sheet-related death. Although, you could pose The Third Variable question to your students for some of these relationships). Property of Tyler Vigens, http://i.imgur.com/OfQYQW8.png Vigen has also provided a menu of frequently used variables (deaths by tripping, sunlight by state) to help you look for specific examples. This portion is interactive, as you and your students can generate your own graphs. Below, I generated a graph of marriage rates in Pennsylvania and consumption of high fructose corn syrup. Generated at http://www.tylervigen.com/

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