Data
Science

Spring 2020
course
site

Feb 18

The homework for Friday is posted.

Any questions about anything so far, including any of the probability stuff?

inference

Finish discussing inference, using the sources I listed in Tuesday's notes.

We'll work through an example of hypothesis testing using my coin generators and some python code, perhaps something like this

>>> import urllib.request
>>> url='https://cs.marlboro.college/tools/coins/a.cgi'
>>> urllib.request.urlopen(url).read()
>>> b't t h h h h t t t h h h h t t h t t h t t t t t h t t h h h h h h h h t h h t t h h t t h h h t h h h t h h h t h t h t t h h h h h h h t h t t t t t t h h h t t t t h h t h h t t t t h h h t h t h h\\n'

... and maybe this

>>> from scratch.statistics import mean, standard_deviation
>>> simulations = [sum(randint(0,1) for i in range(100)) for _ in range(count)]
>>> print(mean(simulations))
>>> print(standard_deviation(simulations))

... and some thinking about normal distributions and probabilities.

Are these fair coin flips? Let's design and work through a hypothesis test or two in class.


I've uploaded the jupyter notebook that we did in class.

https://cs.marlboro.college /cours /spring2020 /data /notes /feb18
last modified Tue October 15 2024 5:28 am