Evaluating distribution fit for the ldl variable

In this exercise, you'll focus on one variable of the diabetes dataset dia: the ldl blood serum. You'll determine whether the normal distribution is a still good choice for ldl based on the additional information provided by a Kolmogorov-Smirnov test.

The dia DataFrame has been loaded for you. The following libraries have also been imported: pandas as pd, numpy as np, and scipy.stats as st.

Define a list called list_of_dists containing your candidate distributions: Laplace, normal, and exponential (in that order); use the correct names from scipy.stats.
Inside the loop, fit the data with the corresponding probability distribution, saving as param.
Perform a Kolmogorov–Smirnov test to evaluate goodness-of-fit, saving the results as result.

Exercise

Evaluating distribution fit for the ldl variable

Instructions