Sometimes, you just need a new, simple example for a homework question or a class warm-up.   I eyeballed and entered the   data here  ( r   = -.55). Enjoy. I use this little example to explain to use the regression formula to make a prediction. Here are my slides .

Ages ago, I shared how I teach ANOVA at a conceptual level. I describe within and between group variance using beliefs about the human role in climate between and within different religious groups. This data is now old. And it described global warming, not climate change, which is a crucial language distinction. So you  can imagine my delight when Pew recently released  updated and improved data investigating this issue.  In my attempt to keep the mood light when discussing an example featuring 1) religion, 2) climate change, and 3) politics, I ask students to think about how many different opinions are probably represented around their family's Thanksgiving table. Despite having much in common as a family, like, perhaps, geography, shared stories, and religion, there are still a lot of within-group differences of opinion. This leads to a discussion about people of different religions having between and within group differences of opinion regarding beliefs about global cl...

YouGov gifts us with seasonal chi-square examples  with data on Thanksgiving food controversies. For example: How do people feel about marshmallows on sweet potato dishes? This doesn't look randomly distributed to me. Which is more beloved: Light or dark turkey meat? If you want examples for the chi-square test of independence, dig into the PDF containing ALL of this survey's data. The distribution of people who like cranberry sauce by age group does not appear random.

A few weeks ago, I posted about how you can share data in such a terrible way that one is not breaking the law, but the data is completely unusable. This makes me think of all the times I am irked when someone states a problem but doesn't offer a solution to the problem. Instead, they just talk about what is wrong and not how it could be. So, as a counter piece, let's cheer on organizations that ARE sharing data in a way that is readily accessible. You could use this in class as a palate cleanser if you teach your students about data obfuscation. You could also use it as a way of helping your students understand how data really is everywhere. Or even challenge them to brainstorm an app that uses readily accessible data in a new way to help folks.  Pro-Publica This website lets you check how often salmonella is found at different chicken processing plants. All you need to do is enter the p-number, company, or location listed on your package of chicken: https://projects.propubli...