The Beauty of Probability
Rolling Three Dice
Imagine you are holding three standard six-sided dice. You are about to roll them, and you want to know the likelihood that every single one lands on a different number.
This is not just a game; it is a beautiful exercise in counting and logic. Let us break this down step by step.
The Foundation
The Sample Space
Before we can talk about winning, we must understand the entire universe of possibilities. We call this the sample space, denoted as n(S).
When you roll one die, there are 6 possible outcomes. When you roll three, because each die is independent, we use the multiplication principle.
This is the total number of ways the dice can land.
The Constraint
The Logic of Distinctness
Now, we look for the favorable outcomes, n(A), where all three dice show different numbers. Let the outcomes be d1,d2,d3. We require $d_1
eq d_2
eq d_3$.
Think of this as filling three empty slots. For the first die, d1, there are no restrictions; it can be any of the 6 faces. So, we have 6 choices.
For the second die, d2, we have a constraint: it must be different from d1. Since one number is already taken, we have 6−1=5 choices left.
Finally, for the third die, d3, it must be different from both d1 and d2. Since two distinct numbers are already occupied, we have 6−2=4 choices remaining.
The Calculation
Bringing it Together
To find the total number of favorable outcomes, we multiply these choices:
We have 120 ways to get three distinct numbers. Now, the probability P(A) is simply the ratio of favorable outcomes to total outcomes:
The Final Polish
Simplification
We are almost there. We need to simplify the fraction 216120.
Both numbers are divisible by 24. Dividing the numerator by 24 gives 5, and dividing the denominator by 24 gives 9.
The problem states this is qp where p and q are co-prime. Since 5 and 9 share no common factors, we have p=5 and q=9.
The final step is to calculate q−p=9−5=4.
You have just navigated the logic of independent events and constraints with elegance. Keep this mindset, and no probability problem will ever intimidate you again.