"Seeing Theory: A visual introduction to probability and statistics" http://students.brown.edu/seeing-theory/ https://github.com/seeingtheory/Seeing-Theory

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These are JavaScript widgets, so not Python but great visual examples that could be implemented with ipywidgets and some JS. explorable.es has a whole catalog of these: http://explorabl.es/math/ Think Stats 2nd edition is free: http://greenteapress.com/wp/think-stats-2e/ The source is also free: https://github.com/AllenDowney/ThinkStats2 https://github.com/AllenDowney/ThinkStats2/blob/master/code/chap01ex.ipynb https://nbviewer.jupyter.org/github/AllenDowney/ThinkStats2/tree/master/code/ On Friday, February 23, 2018, kirby urner <kirby.ur...@gmail.com> wrote: > I'm a big fan of Galton Boards: > > https://youtu.be/3m4bxse2JEQ (lots more on Youtube) > > Python + Dice idea = Simple Code > > http://www.pythonforbeginners.com/code-snippets-source-code/ > game-rolling-the-dice/ > > I'd introduce the idea that 1 die = Uniform Probability but 2+ dice = > Binomial distribution (because there are more ways to roll some numbers, > e.g. 7 than others, e.g. 12). > > A Python generator for Pascal's Triangle (= Binomial Distribution): > > def pascal(): > row = [1] > while True: > yield row > row = [i+j for i,j in zip([0]+row, row+[0])] > > > gen = pascal() > > for _ in range(10): > print(next(gen)) > > [1] > [1, 1] > [1, 2, 1] > [1, 3, 3, 1] > [1, 4, 6, 4, 1] > [1, 5, 10, 10, 5, 1] > [1, 6, 15, 20, 15, 6, 1] > [1, 7, 21, 35, 35, 21, 7, 1] > [1, 8, 28, 56, 70, 56, 28, 8, 1] > [1, 9, 36, 84, 126, 126, 84, 36, 9, 1] > > Kirby > > > On Tue, Feb 20, 2018 at 6:12 PM, Perry Grossman < > perrygrossman2...@gmail.com> wrote: > >> I am thinking of doing a simplified interactive presentation on >> probability and Bayesian statistics for my kids' elementary school. >> I think it would probably be best for 6-8th graders, but there might be >> ways to do this for younger students. >> I'd like to run some Python code to show probability distributions and >> statistics. >> >> I am thinking of simplified examples from these works: >> >> Maybe the dice problem, or the cookie problem here: >> Allen Downey - Bayesian statistics made simple - PyCon 2016 >> <https://youtu.be/TpgiFIGXcT4?t=1741> >> >> A friend also suggested doing an analysis of how many cards (e.g. >> pokemon) that one might need to buy to colleft the whole set. >> >> Any suggestions on how to make this manageable approachable for kids? >> >> Perry >> >> PS: right now I'm going through Allen Downey's tutorial on Bayesian stats >>> using the above mentioned tools, from Pycon 2016: >>> https://youtu.be/TpgiFIGXcT4 >>> I attended this conference, but didn't manage to make this tutorial. >>> >>> [1] I've shared this before, still relevant: >>> https://medium.com/@kirbyurner/is-code-school-the-new-high-s >>> chool-30a8874170b >>> >>> Also this blog post: >>> http://mybizmo.blogspot.com/2018/02/magic-squares.html >>> -------------- next part -------------- >>> An HTML attachment was scrubbed... >>> URL: <http://mail.python.org/pipermail/edu-sig/attachments/201802 >>> 19/d9e2f965/attachment-0001.html> >>> >>> ------------------------------ >>> >>> Subject: Digest Footer >>> >>> _______________________________________________ >>> Edu-sig mailing list >>> Edu-sig@python.org >>> https://mail.python.org/mailman/listinfo/edu-sig >>> >>> >>> ------------------------------ >>> >>> End of Edu-sig Digest, Vol 174, Issue 1 >>> *************************************** >>> >> >> _______________________________________________ >> Edu-sig mailing list >> Edu-sig@python.org >> https://mail.python.org/mailman/listinfo/edu-sig >> >> >

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