import numpy as np np. random. seed (200) import matplot lib import matplotlib.pyplot as plt import seaborn as sns plt. style. use('fivethirtyeight') will win the contest. and 39% Beck. This is our population distribution. The true winner was actually Mimi! Question 2a discussion section sampling process... simulated sample. Hint: - Use np.random.multinomiar documentationj. - Use array [i,1] to select the ith column of a 2D numpy array - Feel free to print out samples or samples. shape to check the output! labels. An example is included below. The total area under the plot must be normalized to 1 . Your plot may not match exactly to ours due to randomness of the data generating process. Distribution of sampled Mimi vote According to Bella's own 50-person sample, 43% of her discussion section reported that they would vote for Mimi in the end-of-semester contest. and include descriptive title, labels and a legend if needed. An example is included below