# Re: [Edu-sig] probability and statistics demo for kids

```On Wednesday, February 21, 2018, A Jorge Garcia via Edu-sig <
edu-sig@python.org> wrote:```
```
> I tried using Jupyter Notebooks last year with my Calc and preCalc
> students last year. However, I'm using CoCalc.com which is Sage Math
> Cloud gone commercial. It was free to use for a while. However, if you use
> it regularly as I have, you get a big red banner across the screen telling
> you to subscribe for \$5 per month per user. Well, I have about 100 students
> and can't afford \$500 per month and neither can my school, so we are back
> to using sagecell.sagemath.com for now.
>

How many quota'd Docker container does it take to serve JupyterHub for 100
students?

It may be easier to copy a configured conda env ZIP to each PC?

> Regards,
> AJG
>
> Sent from BlueMail <http://www.bluemail.me/r?b=12095>
> On Feb 21, 2018, at 9:03 AM, 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
>>
>>
>> On Feb 20, 2018 12:02 PM, <edu-sig-requ...@python.org> wrote:
>>
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>>> Today's Topics:
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>>>    1. if I taught high school calculus today... (kirby urner)
>>>
>>>
>>> ----------------------------------------------------------------------
>>>
>>> Message: 1
>>> Date: Mon, 19 Feb 2018 19:50:28 -0800
>>> From: kirby urner <kirby.ur...@gmail.com>
>>> To: "edu-sig@python.org" <edu-sig@python.org>
>>> Subject: [Edu-sig] if I taught high school calculus today...
>>> Message-ID:
>>>         <capjgg3q5xvmssiwafnsq928eiygkyi7xmmqibsi4fm9-1_h...@mail.gm
>>> ail.com>
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>>>
>>> I was a high school calculus teacher (also algebra, geometry, trig) first
>>> job outta university, stuck with it for two years.
>>>
>>> Fast forward to almost age 60, and I'm teaching coding to middle
>>> schoolers,
>>> thinking it's all still math. [1]
>>>
>>> Shouldn't take a "computer scientist" to cover this stuff... Algorithms
>>> are
>>> algorithms after all.
>>>
>>> Were I to teach calculus today, in light of what I now know, I'd focus on
>>> probability density functions right when we get to integration, as "area
>>> under the probability curve" is precisely how we figure out  chances of
>>> something happening.
>>>
>>> We would use Jupyter Notebooks with SciPy, all free & open source.
>>>
>>> As I recall, our calc curriculum never did much to bridge to statistics,
>>> but in SciPy / NumPy, every continuous probability distribution function
>>> (PDF) comes with a cumulative distribution function (CDF) that's defined
>>> exactly as a definite integral between A and B, and giving the
>>> probability
>>> some x in distribution X falls between A and B.
>>>
>>> Forming a bridge twixt calculus and data science would be another
>>> strategy
>>> for getting scientific calculators to share the road, with more relevant
>>> free tools (always an ulterior motive for me).  I don't think a TI is
>>> able
>>> to do definite integration over a standard normal curve.
>>>
>>> Actually, I see I'm wrong:
>>> http://cfcc.edu/faculty/cmoore/TINormal.htm
>>>
>>> Oh well, back to the drawing board.  I still think a strong tie-in twixt
>>> calc and data science makes a lot of sense at the high school level. With
>>> or without Jupyter Notebooks.
>>>
>>> Kirby
>>>
>>> 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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