Sigma Percentile
JEE Main 2023 (06 April Shift 2)
LEVELBoard

Animated Solution for Mathematics - Probability: Three dice are rolled. If the probability of getting different numbers on the three dice is , where and are co-prime, then is equal to

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Visualized Solution

Visualizing the Experiment

  • Experiment: Rolling three standard six-sided dice simultaneously.
  • Each die has possible outcomes: .

Total Possible Outcomes

  • For probability, we first need the sample space size, .
  • Since the dice are independent, we multiply the number of outcomes for each.

Calculating

Condition for Favorable Outcomes

  • Condition: All three dice must show different numbers.
  • Let the outcomes be . We need .

Choices for the First Die

  • The first die, , has no restrictions.
  • Number of ways to choose .

Choices for the Second Die

  • The second die, , must be different from .
  • Number of ways to choose .

Choices for the Third Die

  • The third die, , must be different from both and .
  • Number of ways to choose .

Calculating Favorable Outcomes

  • Favorable outcomes

Probability Formula

  • Probability
  • Substitute the values:

Simplifying the Probability

  • Divide numerator and denominator by their greatest common divisor ().

Comparing with

  • The problem states the probability is , where and are co-prime.
  • Our fraction is . Since and share no common factors other than , they are co-prime.
  • Therefore, and .

Final Calculation:

  • We need to find the value of .
  • Substitute and :

The Sigma Insight: Classical Definition of Probability

Solution Diagram

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 .
When you roll one die, there are 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, , where all three dice show different numbers. Let the outcomes be . We require $d_1 eq d_2 eq d_3$.
Think of this as filling three empty slots. For the first die, , there are no restrictions; it can be any of the faces. So, we have choices.
For the second die, , we have a constraint: it must be different from . Since one number is already taken, we have choices left.
Finally, for the third die, , it must be different from both and . Since two distinct numbers are already occupied, we have choices remaining.

The Calculation

Bringing it Together
To find the total number of favorable outcomes, we multiply these choices:
We have ways to get three distinct numbers. Now, the probability is simply the ratio of favorable outcomes to total outcomes:

The Final Polish

Simplification
We are almost there. We need to simplify the fraction .
Both numbers are divisible by . Dividing the numerator by gives , and dividing the denominator by gives .
The problem states this is where and are co-prime. Since and share no common factors, we have and .
The final step is to calculate .
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.

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