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Class work today is a short notebook and to simply to fill in the questions we discussed in class.  


You can do this in the README file of your repository after you check it out here (the notebook is also there):

https://classroom.github.com/a/h_YGVzCp


1) answer the questions in the README file.  Now, you may discuss with the other students at your table.  Do you understand the reason to choose one probability distributions over another in each case?   Get the TA's and Prof. Group involved in the discussion if anything is unclear.


Some helpful questions to ask:

  →  What is "n"?

  → What is "μ"?

  →  What is "p"? 


Is the full binomial distribution required, or is it better to use a Poisson or Gaussian approximation? 


2) Learn about plotting the Gaussian probability distribution - this is required for HW07!

Work through the Class15.ipynb  Jupyter Notebook. 



Done?  Make sure your plot and work is cleaned up and push files to GitHub: class15.ipynb and README

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