Kathy Explains all of Statistics in 30 Seconds and “How to Succeed in Sports Analytics” in 30 Seconds
@causalKathy explains all of statistics in 30 seconds.
I spent the weekend of October 19-21 in Pittsburgh at the 2018 CMU Sports Analytics Conference. One of the highlights of the weekend was Sam Ventura asking me to explain causal inference in 15 seconds. I couldn’t quite do it, but it morphed into trying to explain all of statistics in 30 seconds. Which I then had to repeat a few times over the weekend. Figured I’d post it so people can stop asking. I’m expanding slightly.
Kathy Explains all of Statistics in 30 Seconds
Broadly speaking, statistics can be broken up into three categories: description, prediction, and inference.
- Mapping inputs to outputs
- Predicting outcomes and distributions
- Inference/Causal Inference
- Prediction if the world had been different
- Counterfactual/potential outcome prediction
I’ll give an example in the sports analytics world, specifically basketball (this part is what I will say if I only have 30 seconds):
- Slicing your…
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