Codehs 4.3.5 Rolling Dice Answers -

import random

for _ in range(num_rolls): roll = roll_die() outcomes[roll - 1] += 1

import random

Here's an updated code snippet:

Outcome 1: 167 (16.70%) Outcome 2: 162 (16.20%) Outcome 3: 169 (16.90%) Outcome 4: 165 (16.50%) Outcome 5: 171 (17.10%) Outcome 6: 166 (16.60%) As expected, each outcome occurs with a frequency close to 1/6 or 16.67%. The law of large numbers states that as the number of trials (rolls) increases, the observed frequency of each outcome will converge to its expected probability.

In conclusion, CodeHS 4.3.5 provides a fun and interactive way to understand the basics of probability through simulating the roll of a die. By writing code to generate random numbers and simulate multiple rolls, we gain insights into the nature of probability and the behavior of random events. The exercise demonstrates the power of programming in exploring and understanding complex concepts, making it an engaging and effective learning experience.

def roll_die(): roll = random.randint(1, 6) return roll

Here's a sample code snippet:

print(roll_die())