To gain a deeper understanding of probability, let's simulate multiple rolls of the die. We can modify the code to roll the die multiple times and keep track of the frequency of each outcome.
for _ in range(num_rolls): roll = roll_die() outcomes[roll - 1] += 1 codehs 4.3.5 rolling dice answers
In the context of CodeHS 4.3.5, the random.randint(1, 6) function generates a random integer between 1 and 6, simulating the roll of a fair die. Over a large number of rolls, we expect each outcome to occur with a frequency close to 1/6. To gain a deeper understanding of probability, let's