Probability distributions
Well done on the previous exercise! Now you have the general idea of what the Bayesian approach is all about. Among other things, you know that for a Bayesian, parameters of statistical models are random variables which can be described by probability distributions.
This exercise will test your ability to visualize and interpret probability distributions. You have been given a long list of draws from a distribution of the heights of plants in centimeters, contained in the variable draws
. seaborn
and matplotlib.pyplot
have been imported for you as sns
and plt
, respectively. Time to get your hands dirty with data!
This exercise is part of the course
Bayesian Data Analysis in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Print the list of draws
print(____)
# Print the length of draws
print(____)