The types of simulations we've been using so far are called Monte Carlo simulations. a. [3 points] Simulate throwing a fair six-sided die 100 times and graph the results. Note: you may want to use a histogram or the function sns.countplot(x = data) [after you use import seaborn as sns]. b. [3 points] Repeat part (a) for 10,000 tosses. How are your results different from those in part (a)? What accounts for the difference?