Sigma Percentile
JEE Advanced 1993
LEVELBoard

Animated Solution for Mathematics - Probability: An unbiased die with faces marked and is rolled four times. Out of four face values obtained, the probability that the minimum face value is not less than and the maximum face value is not greater than , is

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Visualized Solution

The Experiment: Rolling a Die

  • Experiment: Rolling an unbiased die times.
  • Sample space for one roll: .
  • Total outcomes for one roll: .

Constraint 1: Minimum Value

  • Condition: The minimum face value obtained across all rolls is not less than .
  • This implies that the number cannot appear in any of the rolls.

Constraint 2: Maximum Value

  • Condition: The maximum face value obtained is not greater than .
  • This implies that the number cannot appear in any of the rolls.

Defining the Favorable Set

  • For the conditions to hold, every single roll must result in a number from the set .
  • Number of favorable outcomes per roll: .

Probability of Success in One Roll

  • Probability of getting a favorable outcome in one roll: .
  • .

Simplifying the Probability

  • Simplifying the fraction: .
  • This is the probability that a single roll satisfies the condition .

Four Independent Rolls

  • The die is rolled times.
  • Each roll is an independent event.
  • The outcome of one roll does not affect the others.

Probability of Four Rolls

  • For independent events, we multiply their individual probabilities.
  • Required Probability .
  • Required Probability .

Final Result

  • Expanding the power: .
  • and .
  • Final Probability .

The Sigma Insight: Addition and Multiplication Theorems

Solution Diagram

The Beauty of Probability

A Die-Rolling Journey
Probability is not just about numbers; it is about understanding the hidden structure of chance. When we look at a problem like this, it is easy to feel overwhelmed by the sheer number of combinations possible when rolling a die four times.
But if we pause and look at the constraints, the complexity melts away, revealing a beautiful, simple logic.

Analyzing the Setup

Imagine you are holding a standard, unbiased die. It has six faces: .
The problem asks us to roll this die four times and satisfy two conditions simultaneously: the minimum face value must be at least 2, and the maximum face value must be at most 5.
If the minimum value is not less than 2, it means we cannot roll a 1. If the maximum value is not greater than 5, it means we cannot roll a 6.
Suddenly, the entire sample space of six numbers is filtered down. We are left with a 'safe zone' of numbers: .

The Safe Zone

For our conditions to hold true across all four rolls, every single roll must land within this safe zone. If even one roll lands on a 1 or a 6, the entire experiment fails.
For any single roll, we have four favorable outcomes: . The total number of possible outcomes for a single roll remains 6.
Therefore, the probability of success for one roll, , is the ratio of favorable outcomes to total outcomes:
This is the probability that a single roll lands safely inside our restricted set.

The Power of Independence

Now, we must consider the four rolls. The magic of probability lies in the concept of independence.
Because the die has no memory, the outcome of the first roll does not influence the second, third, or fourth. When we need a sequence of independent events to all succeed, we multiply their individual probabilities.
We need the first roll to be successful, AND the second, AND the third, AND the fourth. Mathematically, this is:
Substituting our value, we get:

Final Calculation

Raising a fraction to a power is straightforward: we raise both the numerator and the denominator to that power.
Calculating these powers, we find and .
Our final probability is:
It is a clean, elegant result that emerges from the simple act of filtering out the forbidden numbers and recognizing the independence of each roll. Always look for the constraints first, and the math will follow.

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