Here’s a reprint of a short 2014 Nautilus article by Carl Zimmer in which he describes how Ronald Fisher and some colleagues came up with the idea of testing null hypotheses in the 1920s. The story begins with pouring milk in tea, and one upshot is that we can’t definitively rule out the existence of Bigfoot.
If you can’t communicate the underlying relationships to your audience, it doesn’t matter how much you know about your data. Here are some well communicated, if not terribly important, depictions of common and separate sets.
Here’s an interesting application of survey methods to real world questions, reported in The Upshot at the New York Times: “What Democrats Could Lose With Their Left Turn.”
Check out the clever and charming Dear Data project. The authors provide many examples of how multiple variables can be reported simultaneously in an appealing, comprehensible way.
Take a look at this map showing how American men refer to their bros in different parts of the country. Oh, the ideas we can quantify!
You have found the syllabus for the course! We’re going to try to use Canvas this semester, so lots of stuff will be posted there, but for the time being I’ll post the calendar and announcements and course policies here. Assignments will be posted only on Canvas, I think. We’ll figure it out together.