Sigma Percentile
JEE Main 2020 (9 January Shift 2)
LEVELJEE Main

Animated Solution for Mathematics - Probability: If 10 different balls has to be placed in 4 distinct boxes at random, then the probability that two of these boxes contain exactly 2 and 3 balls is :

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Visualized Solution

The Physical Setup

  • We have distinct balls.
  • We have distinct boxes.
  • Target: Find the probability that two boxes contain exactly and balls.

Total Sample Space

  • Each of the balls can be placed in any of the boxes.
  • Choices per ball = .
  • Total possible distributions, ( times).
  • .

Choosing the Two Boxes

  • We need two boxes to hold exactly and balls.
  • First, select boxes out of : .
  • Next, assign the counts ( and ) to these selected boxes: .
  • Ways to select and assign = .

Filling the Special Boxes

  • Choose balls out of for the first box: .
  • Choose balls out of the remaining for the second box: .
  • Ways to fill these two boxes = .

Distributing Remaining Balls

  • Remaining balls = .
  • Remaining boxes = .
  • Each of the balls has choices.
  • Ways to distribute remaining balls = .

Total Favorable Outcomes

  • Multiply all the independent steps together.
  • .
  • .
  • .

Calculating the Probability

  • .
  • Notice that .
  • Extract powers of from the numerator:
  • .
  • Numerator becomes: .
  • .

The Sigma Insight: Classical Definition of Probability

Solution Diagram

Analyzing the Universe of Possibilities

Imagine you are standing in a grand hall, holding ten distinct, numbered balls. Before you sit four distinct, labeled boxes. Your task is to distribute these balls randomly.
For each of the ten balls, you have four choices of boxes. The first ball can go into any of the four, and the second ball, independent of the first, also has four choices. This continues until the tenth ball.
By the fundamental counting principle, the total number of ways to distribute these ten distinct balls into four distinct boxes is (ten times). This gives us a total sample space of:
This is our denominator, the bedrock upon which our probability calculation rests.

The Architecture of the Event

Selecting the Special Boxes
Now, we narrow our focus to the specific event: two boxes must contain exactly two and three balls, respectively. We must first select two boxes out of the four, which is represented by .
Once we have selected these two boxes, we must decide which one receives two balls and which one receives three. Since the boxes are distinct, the order matters, so we multiply by to account for these two arrangements.
Thus, the number of ways to select and assign the counts to these boxes is:
This is the architectural foundation of our favorable outcomes.

The Precision of Placement

Filling the Special Boxes
With the boxes chosen and their capacities defined, we now turn to the balls themselves. We have ten distinct balls and need to choose two of them to place into the first special box, which is done in ways.
With two balls placed, we are left with eight balls. From these eight, we must choose three to place into the second special box, which is done in ways.
The number of ways to fill these two boxes is the product of these combinations:
We are effectively partitioning our set of balls into specific groups.

The Freedom of the Remainder

The Final Distribution
We have placed five balls in total (two in one box, three in another). We have five balls remaining and two boxes remaining that have no specific constraints.
These five balls are free spirits; each of them can be placed into either of the two remaining boxes. Since each of the five balls has two choices, the number of ways to distribute them is:
This step is crucial—never forget the 'leftover' elements in a counting problem!

The Grand Synthesis

Calculating the Probability
Now, we bring it all together. The total number of favorable outcomes is the product of all our independent steps:
Substituting the values, we have . We want the probability .
Recall that . Breaking down the numerator into powers of two:
Multiplying these, we get . The numerator becomes .
Finally, our probability is:
The complexity dissolves into elegance. This is the beauty of combinatorics—when you respect the structure of the problem, the math rewards you with simplicity.

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