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So how is one to ever know that stats is beautiful if all they see is impenetrable jargon? Where is a good, free, up-to-date resource for doing what Zed covers?
by skorgu 17y ago
So how is one to ever know that stats is beautiful if all they see is impenetrable jargon? Where is a good, free, up-to-date resource for doing what Zed covers?
We're all busy, accessibility and immediate relevance are common and useful heuristics for deciding what to investigate.
- AlphaMonkey 17y agoI find MIT OCW courses on Statistics a good source of references. Reading books takes time, but you can find some lecture slides and lecture notes there. I, too, found Statistics impenetrable. One solution I found was to learn Statistics from the Electrical Engineering and Computer Science perspective. Instead of weird abstractions, in EE and CS one thinks of more concrete things, like random signals, or data sets. The best way to learn Statistics is to apply it. One problem, though, is that knowing only a little Statistics might be worse than knowing nothing.
- skorgu 17y agoConsidering the article is a concrete introduction to statistics with applications and is passionate about your last point you seem to agree with Zed.