Friday, March 16, 2018

Dozen of interactive stats demos from @artofstat

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 screen grabs 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, 
Show the difference between two populations (of your own creation),

Sunday, February 11, 2018

Smart's "The differences in how CNN MSNBC & FOX cover the news"

This example doesn't demonstrate a specific statistical test. Instead, it demonstrate how data can be used to answer a hotly contested question: Are certain media outlets biased?

How can we answer this? Charlie Smart, working for The Pudding, addressed this question via content analysis. Here is how he did it:

And here are some of their findings:

Yes, Fox News was talking about the Clintons a lot.
While over at MSNBC, they discussed the investigation into Russia and the 2016 elections ore frequently.

While kneeling during the anthem was featured on all networks, it was featured most frequently on Fox
And context matters. What words are associated with "dossier"?

How do the different networks contextualize President Trump's tweets?

Another reason I like this example: It points out the trends for the three big networks. So, we aren't a bunch of Marxist professors ragging on FOX, and we aren't a bunch of Fake Newsers ragging on MSNBC: We can dispassionately look at the trends present across the spectrum. I think this is important in diverse classrooms with diverse opinions.

I think this example also shows some really good visualizations for different sorts of data, allowing users to easily comprehend trend across time, comparisons among the three networks, etc.