probability and statistics demo for kids

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

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 <[email protected]> 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 <
> [email protected]> 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
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