1. Did you know that the Society for the Teaching of Psychology maintains Project Syllabus ? This is a list of juried syllabi for every psychology class imaginable. I went through the process of submitting my undergraduate Positive Psychology syllabus . In addition to performing a bit of national service, I also had the chance to improve my syllabi via peer review guided by the Project Syllabus rubric . In particular, I appreciated the suggestion to clearly spell out WHY I use the assessments that I use. I already had included my employer-compulsory linkages between learning outcomes and course assessment, but I added information, in plain English, regarding what I hope my students learn from the different assignments in the course. Project Syllabus includes hundreds of these juried syllabi. This list includes 12 different statistics classes as well as over 20 research methods classes. I highly recommend submitting your own syllabi for a great class that you teach, or using this...

I use a syllabus in my stats class, ergo making this not-statsy resource relevant to a blog about teaching statistics. Alright, I hate putting Week 1, Week 2, etc. on my syllabus, as much for myself as for my students. But, revising my syllabus every semester and trying to put the dates in can be annoying. No more. Caleb McDaniel ( @wcaleb ) created the "Generic Syllabus Maker" , which allows you to select the days of the week when you teach, and the start and end dates of your semester, and returns the class meeting dates in the format you select. 

Positive, interactive linear relationships, y'all. Chase, of Overflow Data , created a scatter plot that finds that as income goes up, so does rent. Pretty intuitive, right? I think intuitive examples are good for students. Cursor over the dots to see what metro area each dot represents, or use the search function to find your locale and personalize the lesson a wee bit for your students.

Writing for the Dallas News, Jackie Wang describes how data entry errors lead to the erroneous belief that Texas pregnancy related death rates were more than double the national rate. Short story: Texas thought it had terribly high rates of pregnancy related deaths. It didn't. Turns out that folks were just using the online system for reporting cause of death incorrectly. So, human data entry errors lead to what looked like a spike in maternal deaths. Like, whenever I make a change in my grade book columns in Blackboard, I always forget to hit "Save" and then the changes I make aren't saved. Only here, that sort of small error caused Texas to think that death rates for pregnancy complications was 14.6:100,000, not the reported 38.4:100,000. Which is an enormous difference. And a lot of money was spent to rectify the problem, which wasn't a problem, but those actions were probably still good for women and babies and families. This article details how Texas had ...

The New York Time's maintains The Learning Network, which contains news content that fits well into a variety of classrooms teaching a variety of topics.  Recently, they shared a good stats example. They created curves illustrating global climate change over time. The top graph illustrates a normal curve, with normal temperature as the modal value. But as we shift forward in time, hot days become modal and the curves no longer overlap. Sort of like the classic illustration of what a small to medium effect size looks like in terms of distribution overlap.  This graph is part of the NYT's "What's going on in this graph?" series , which are created and shared in partnership with the American Statistical Association.

I am avoiding grading and trying to make this here blog more usable, so I am consolidating all of my funny scale examples into one location. Feast your eyes on this! https://earther.com/we-finally-know-what-hot-as-balls-really-means-1825713726 http://hyperboleandahalf.blogspot.com/2010/02/boyfriend-doesnt-have-ebola-probably.html http://notawfulandboring.blogspot.com/2018/01/this-is-very-silly-example-for.html

Geckoboard created a list of common statistical fallacies , including cherry picking, Simpson's paradox, gerrymandering, and many more. Each fallacy comes with a brief description of the fallacy, references, a printable card for review/display, and drawing. They are kind of gorgeous and to the point and helpful. https://www.geckoboard.com/learn/data-literacy/statistical-fallacies/sampling-bias/ Here is the downloadable card for the Regression Toward the Mean: https://www.geckoboard.com/assets/regression-toward-the-mean.pdf They even present all of their graphics as  a free, downloadable poster . My only peeve is that they use the term "Data Dredging" where I would have said "HARKing" or "Going on a fishing expedition". And that is just the tiniest of peeves, I think this is a good check list filled with images and concise descriptions that would look beautiful in a college professor's office, a stats class room, or anonymously ...

Mathisfun.com bills this as a Least Squared Error calculator , but I don't think it is a calculator. I think it is a nice visual aid that demonstrates how the regression line/equation change as your data changes. The static photo below doesn't do this interactive website justice. You can drag and drop any of the dots on the scatter plot and watch as the regression line and regression line equation are recalculated to best predict Y based on X. It doesn't explicitly show the math going on behind the scenes, but it is a nice compliment to your LSE lecture. https://www.mathsisfun.com/data/least-squares-calculator.html

Once again, The Onion publishes satire research (which should be, like, a submission category for JPSP) claiming to study phrases uttered before food poisoning happens . https://www.theonion.com/report-saying-smells-okay-precedes-85-of-foodborne-1819579726 I've turned this fake research into fake data to conduct an actual chi-square test of goodness of fit. Here is data that will give you a significant chi square, with 85% of participants falling into the "smells okay" category. Did sick person say aid "Smells Okay" before eating leftovers? No Yes 19 106

Press Rogers is a very generous person who has created a number of documents that illustrate the thinking/math behind a variety of statistics. Here is his illustration for ANOVA, which includes one way, two way, repeated measured, and mixed. https://pressrogers.com/documents/anova-overview/ PS: I found out about this resource via the Society for the Teaching of Psychology FB group , which is active and filled with great advice about teaching statistics as well as other psychology topics. 

Crash course website produces brief, informative videos. They are a mix of animation and live action, and cover an array of topics, including statistics. This one is all about measures of central tendency: Here is the listing under their #statistics tag , which includes videos about correlation/causation, data visualization, and variability. And, you know what? This is just a super cool web site, full stop. Here are all of their psychology videos .

NPR, as part of their series about discrimination in America , talked about how it is difficult to obtain a diverse research sample when your diverse research sample doesn't trust scientists. This story by Rob Stein is about public outreach attempts in order to gather a representative sample for a large scale genetic research study. The story is also about how historical occurrences of research violations live on in the memory of the affected communities. The National Institutes for Health is trying to collect a robust, diverse sampling of Americans as part of the All of Us initiative. NIH wants to build a giant, representative database of Americans and information about their health and genetics. As of the air date for this story, African Americans were underepresented in the sample, and the reason behind this is historical. Due to terrible violation of African American research participant rights (Tuskeegee, Henrietta Lacks), many African Americans are unwilling to partic...

This website is associated with Agresti, Franklin, and Klinenberg's text Statistics, The Art and Science of Learning from Data ( @artofstat ), and there are dozens of great interactives to share with your statistics students. Similar and useful interactives exist elsewhere, but it is nice to have such a thorough, one-stop-shop of great visuals. Below, I have included screengrabs of two of their interactive tools. They also explain chi-square distributions, central limit theorem, exploratory data analysis, multivariate relationships, etc. This interactive about linear regression let's you put in your own dots in the scatter plot, and returns descriptive data and the regression line, https://istats.shinyapps.io/ExploreLinReg/.  Show the difference between two populations (of your own creation), https://istats.shinyapps.io/2sample_mean/