CS 477: Module 1: Numpy Exercise (1.5 Points)

Developed by Professor Tralie and Professor Mongan.

Exercise Goals

The goals of this exercise are:
  1. To apply array indexing in numpy
  2. To use for loops in numpy

The code below does one trial (experiment) of the 10 heads in a row game, but that doesn't give us a very good idea of how long it takes in general. We should do the experiment many times to get a better sense. Your task in this exercise is to put the starter code inside of a for loop that loops through num_trials times and stores the number of flips it took for each trial as an element in the trials numpy array. All you should have to do is add a for loop, put all of the code inside, and assign num_flips to an index in trials. Then, we can use the power of matplotlib to plot a histogram showing us a distribution of the number of heads it took over all experiments.

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