When I teach inferential statistics, I think it is helpful in providing several conceptual (no by hand calculations, no data analyzed via computer) examples of experiments that could be analyzed using each inferential test. I also think it is essential to use non-psychology examples and psychology examples because students need to see how stats apply outside of psychology. At times, I believe that students are convinced that a class called Psychological Statistics doesn't apply outside of psychology.  So I like this quick, easy-to-follow example from medicine. Thomas, Patel, and Bittel (2021) studied how different vitamin supplements affected outcomes for people with COVID-19. The factor (COVID intervention) has four levels (usual care/control, ascorbic acid, zinc gluconate, and ascorbic acid/zinc gluconate). And the four groups acted pretty much the same. Bonus stats content: Error bars, super-cool Visual Summary of a research study that really highlights the most essential parts...

I hope everyone is hanging in there. Here is a pretty straight forward one-way ANOVA example that is interactive, based on for-real personality psychology research, and interesting. I blogged about this previously but whipped up a Google Slideshow you can download and edit to suit your own teaching. Also, I uploaded data that you can use with your students.  TL:DR- A bunch of researchers gave the NEO to 1.5 million Americans to determine if different regions of the US have different personality trends (see research here ).  Original Study They do. Then Time magazine reported on the study . And the scicomm was beautiful. They accurately described the research AND created a fun interactive portion in which you students can take the NEO-Short Form and be matched with the state that best matches their personality (Hi, I am West Virginia because I'm high in neuroticism and low in openness to new experiences, which are great qualities to have during a pandem...