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.
Este ejercicio forma parte del curso
Foundations of Probability in Python
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Configure random generator
np.random.seed(42)
# Generate the sample
sample1 = ____(____)
# Plot the sample
plt.____(____, bins=range(1, 8), width=0.9)
plt.____()