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...
Slate's The Littlest Tasters More research methods than statistics, this article describes the difficulty in determining taste preferences in wee humans who don't speak well if at all. slate.com The goods for teaching: They mention the FACE scale. The research methods described go beyond marketing research and this could be useful in a Developmental class to describe approaches used in data collection for children (like asking parents to rate their children's reactions to foods). I've used this as a discussion board prompt when discussing research ethics, both for simply conducting research with children as well as the ethics of marketing (not so healthy foods) towards children. Aside: They also describe why kids like Lunchables, which has always been a mystery to me. Apparently, kids are picky about texture and flavor but they haven't developed a preference for certain foods to be hot or cold. The Huffington Post's " You'll Never Look at ...