Adding dice rolls
To illustrate the central limit theorem, we are going to work with dice rolls. We'll generate the samples and then add them to plot the outcome.
You're provided with a function named roll_dice() that will generate the sample dice rolls. numpy is already imported as np for your convenience: you have to use np.add(sample1, sample2) to add samples. Also, matplotlib.pyplot is imported as plt so you can plot the histograms.
This exercise is part of the course
Foundations of Probability in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Configure random generator
np.random.seed(42)
# Generate the sample
sample1 = ____(____)
# Plot the sample
plt.____(____, bins=range(1, 8), width=0.9)
plt.____()