Sample Spaces & Events

The Language of Chance

A sample space $\Omega$ is the set of all possible outcomes of a random experiment. An event is any subset of $\Omega$.

Classical probability applies when all outcomes are equally likely:

$P(A) = \frac{|A|}{|\Omega|}$

where $|A|$ is the number of outcomes in event $A$.

# Rolling a fair die
omega = [1, 2, 3, 4, 5, 6]
even  = [2, 4, 6]

p = len(even) / len(omega)
print(round(p, 4))  # 0.5

Set Operations on Events

Your Task

Implement classical_probability(outcomes, event) that returns $P(A) = |\text{event}| / |\text{outcomes}|$, rounded to 4 decimal places.