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The problem with these kind of extremely short texts is that they jump into explaining technical concepts without even mentioning basic things such as random va
by dragandj 9y ago
The problem with these kind of extremely short texts is that they jump into explaining technical concepts without even mentioning basic things such as random variable for example.
Then, readers learn that statistics is about applying a few summing and averaging procedures, and trust the numbers they get as a result.
- RA_Fisher 9y agoI totally agree. It's much better to start with probability and then move to statistics. It gives both a foundation and the motivation for statistics.
- analog31 9y agoIndeed, and I think Python could be great for learning about probability too. It comes with an endless supply of random numbers. ;-)
- melling 9y agoAnyone have any recommendations on where to start? In particular, I’ve been looking for a good book on probability.
- joshvm 9y agoJaynes is the usual 'standard' probability text, and it's well written and not too dry. It's mathsy though.
- dragandj 9y agoWilliam Bolstad - Introduction to Bayesian Statistics Or E.T. Jaynes - Probability Theory, The Logic of Science (but this one is much more detailed and has lots of philosophy) Or Ian Hacking - An Introduction to Probability and Inductive Logic (this is the light approach written for philosophy students)
- maroonblazer 9y agoI like Norvig's Jupyter notebook on Probability using Python. http://nbviewer.jupyter.org/url/norvig.com/ipython/Probability.ipynb http://nbviewer.jupyter.org/url/norvig.com/ipython/Probabili...
- RA_Fisher 9y agoI recommend Think Stats by Allen Downey http://greenteapress.com/thinkstats/ http://greenteapress.com/thinkstats/
- mubaris 9y agoI'll be posting a separate blog post about probability soon. Anyway, thanks for the suggestion.