Manuel David Soto. MSc in Geological Sciences, University of Texas at Austin, USA.
In this notebook a random normal variable (var) is generated with the np.random.normal function and its corresponding parameters (mean, standard deviation, and number of samples). Then this variable is plotted in different ways, including in each case some statistical parameters of the variable. In one of the histograms the theoretical normal curve that corresponds to the parameters of the variables is shown for comparison.
The best way to run the notebook is changing the parameter in the second cell and then run the whole notebook with the Run All option available in the Cell menu of the notebook.
Here is a list of libraries necessary for this notebook:
numpy
matplotlib
scipy