Sigma Percentile
JEE Main 2019 (12 April Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Probability: If three of the six vertices of a regular hexagon are chosen at random, then the probability that the triangle formed with these chosen vertices is equilateral is :

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Visualized Solution

The Regular Hexagon

  • Consider a regular hexagon with vertices.
  • Let the vertices be .
  • We need to select exactly vertices at random.

Total Sample Space

  • The total number of ways to choose vertices out of is our sample space, .
  • We use the combinations formula: .

Setting up

  • Here, (total vertices) and (vertices to choose).

Calculating

Condition for Equilateral Triangles

  • An equilateral triangle requires all three sides to be equal.
  • In a regular hexagon, this happens only when we pick alternate vertices.

The First Equilateral Triangle

  • Let's start with .
  • Skipping one vertex each time, we pick and .
  • First favorable outcome:

The Second Equilateral Triangle

  • Now, let's start with .
  • Skipping one vertex each time, we pick and .
  • Second favorable outcome:

Total Favorable Outcomes

  • Are there any more? If we start at , we get , which is the first triangle again.
  • Total favorable outcomes, .

Probability Formula

  • The probability of an event is given by .
  • Substitute and .

Final Calculation

  • Simplifying the fraction:

Conclusion

  • The probability of forming an equilateral triangle is .
  • Correct Option:

The Sigma Insight: Classical Definition of Probability

Solution Diagram

The Geometry of Symmetry

A Hexagonal Journey
Imagine you are standing before a perfect, regular hexagon. It is a shape of profound balance, a staple of nature's most efficient designs. Today, we are not just solving a probability problem; we are exploring the hidden symmetry within this six-sided wonder.
Our task is simple yet elegant: if we randomly choose three vertices from the six available, what is the probability that they form an equilateral triangle? Let us break this down, step by step.

Phase 1

The Total Sample Space
Before we can find the probability, we must understand the scope of our possibilities. We have six distinct vertices, which we can label .
We need to select exactly three of these to form a triangle. Because the triangle is identical to , the order of selection does not matter. This is the classic definition of a combination. We use the formula , where and :
Expanding this, we get . The in the denominator is , which cancels out the in the numerator.
We are left with , which equals . So, there are exactly possible triangles we can form from these six vertices. This is our total sample space.

Phase 2

The Geometric Insight
Now, we move from the algebraic to the geometric. What makes a triangle equilateral in a regular hexagon? If you visualize the hexagon, you will notice that the internal angle is .
To create an equilateral triangle, the vertices must be spaced perfectly. If you pick a vertex, you must skip exactly one vertex to reach the next one. This creates a triangle where each side spans two edges of the hexagon, ensuring all sides are equal.
Let us trace this. If we start at , we skip and pick . Then we skip and pick . Connecting and gives us our first equilateral triangle: .
Now, what if we start at ? We skip and pick . Then we skip and pick . Connecting and gives us our second equilateral triangle: .
Are there any more? If we try to start at , we would pick and , which is just the first triangle again. We have exhausted all unique possibilities. Thus, the number of favorable outcomes, , is exactly .

Phase 3

The Final Calculation
We have reached the home stretch. The probability of an event is simply the ratio of favorable outcomes to the total sample space:
Substituting our values, we get:
Simplifying this fraction by dividing both the numerator and the denominator by , we arrive at our final result:
There we have it! A one in ten chance. It is a wonderful reminder that even in complex problems, the answer often lies in visualizing the underlying geometry. The final probability is .

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