Multinomial sampling
Imagine a small town in Colorado, USA, which has on average 300 sunny days, 35 cloudy days, and 30 rainy days each year. As a scientist studying climate change, you are interested in the distributions of sunny, cloudy, and rainy days in a random span of 50 years if these averages are assumed to remain the same.
The following packages have been imported for you: seaborn as sns, pandas as pd, matplotlib.pyplot as plt, and scipy.stats as st.
This exercise is part of the course
Monte Carlo Simulations in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Define the probabilities of sunny, cloudy, and rainy days
p_sunny = ____/365
p_cloudy = ____/365
p_rainy = ____/365
num_of_days_in_a_year = 365
number_of_years = 50