Sigma Percentile
JEE Main 2003
LEVELJEE Main

Animated Solution for Mathematics - Probability: The mean and variance of a random variable having binomial distribution are 4 and 2 respectively, then is

Select Answer:

Visualized Solution

Identify Binomial Parameters

  • Let be a binomial random variable.
  • Mean:
  • Variance:

Relate Variance and Mean

  • We know that
  • Therefore,

Substitute Values for

  • Substitute the given values into the ratio.

Calculate Probability of Failure

  • Simplify the fraction:

Find Probability of Success

  • In a binomial distribution, success and failure are complementary.
  • Therefore,

Calculate

  • Substitute :

Determine Number of Trials

  • We need the total number of trials, .
  • Use the mean equation:

Substitute into Mean Equation

  • Substitute into .

Calculate

  • Multiply both sides by 2.

Visualize the Distribution

  • With and p= rac{1}{2}, the distribution is symmetric.
  • The mean is at .

Apply Probability Mass Function

  • The formula for binomial probability is:

Substitute Values for

  • We want , so .

Simplify the Expression

  • The exponents combine:

Calculate Final Probability

  • Calculate .

Final Answer

  • Simplify the fraction:
  • Final Answer:

The Sigma Insight: Binomial Distribution

Solution Diagram

Analyzing the Setup

My dear student, welcome to the fascinating world of the Binomial Distribution. Today, we are not just solving a problem; we are peeling back the layers of a mathematical structure that governs everything from coin flips to quality control in manufacturing.
We are given two vital clues: the mean and the variance . These are the heartbeat of our distribution.

Decoding the Parameters

Imagine you are standing before a mystery box. We know the mean is and the variance is .
The beauty of mathematics lies in its elegance. If we look at the ratio of the variance to the mean, something magical happens:
The and terms, which seem so elusive, simply vanish. This leaves us with:
Just like that, the probability of failure is revealed to be .

The Symmetry of Success

Now that we have , the probability of success is just a heartbeat away. Because success and failure are complementary, we know that .
With , it follows that:
We have discovered that in this specific experiment, success and failure are perfectly balanced, like a fair coin toss.
Now, let us find the total number of trials . Returning to our mean equation, , we substitute our value for :
Multiplying both sides by , we find . We have successfully mapped the entire landscape of our distribution: , , and .

The Final Calculation

The question asks for the probability that . We turn to the Binomial Probability Mass Function:
Substituting our values, we get:
Simplifying this, is simply . The probability terms combine to . Thus:
When we divide by , we arrive at our final, elegant answer:
You see? By breaking the problem down into these logical steps, we didn't just find the answer; we understood the structure of the distribution itself. Keep this clarity with you as you tackle more complex problems. You are doing fantastic.

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