The thing about my way of teaching stats is that my cool, novel examples get old really fast. Like, pop culture is on a thirty-day cycle. Anyway, YEARS ago, 2014 to be exact, I blogged about illustrating bimodal data distributions using baby name data from the Social Security Administration. Specifically, when an older name comes back into vogue, it has a bimodal distribution when you plot time on the X axis. I stand by this example. However, all of the data illustrations come from 2014. When our traditionally aged college students were 6 or 7. Which makes this example feel a little stale. However, here is some data, courtesy of Redditor fevaah , showing old names that are back in vogue through 2025 ! And Eleanor, Violet, Nora, and Hazel are here, illustrating bimodal distributions for a new generation. If you used my old baby-name data, this is a quick, easy refresh for your lectures (or a fun new addition if you didn't). If this idea was help...
I teach with JASP. Compared to, say, SPSS, JASP doesn't drain my computer of its processing abilities. But it takes more than a Chromebook to run. And I know that many of my Psych Stats colleagues are teaching with SPSS, which takes way more than a Chromebook to run. This is troublesome because some of our students have Chromebooks. Or second-hand laptops or very inexpensive laptops that fit their budget and run Word just fine but leave some of our students at a disadvantage regarding their ability to succeed in classes that require more than Word. I bet many of these students are financially responsible for themselves and operating on a limited budget. So let's help those students. I learned about a workaround for this problem from one of the ITS employees at Gannon University. A workaround that may be obvious to some of you but I never knew about. It helped one of my students who had a crap top AND (at the time) a concussion, and she was struggling to keep up with wo...