Sigma Percentile
JEE Main 2022 (26 July Shift 2)
LEVELJEE Main

Animated Solution for Mathematics - Probability: Let be a binomially distributed random variable with mean 4 and variance . Then is equal to

Select Answer:

Visualized Solution

Understanding the Parameters

  • Given: Mean
  • Given: Variance
  • Where is the number of trials, is the probability of success, and is the probability of failure.

Finding the Probability of Failure

  • Divide Variance by Mean:

Finding the Probability of Success

  • Since :

Determining the Number of Trials

  • Using :

Defining the Target Probability

  • Target:
  • Expansion:
  • General Formula:

Calculating

  • For :

Calculating

  • For :

Calculating

  • For :

Summing the Probabilities

  • Summing up:

Final Calculation

  • Calculate :

The Final Result

  • Final Answer:
  • Correct Option: (2)

The Sigma Insight: Binomial Distribution

Solution Diagram

The Elegant Geometry of Chance

Mastering the Binomial Distribution
My dear student, welcome to the fascinating world of discrete probability. Today, we are going to dissect a problem that might seem like a dry calculation, but is actually a beautiful exercise in logical deduction.
We are dealing with a Binomial Distribution, the mathematical heartbeat of experiments where we have a fixed number of trials, each with a binary outcome: success or failure. Our goal is to find the value of given the mean and variance.
Let us peel back the layers of this problem together.

Analyzing the Setup

We are given two vital clues: the mean and the variance . Here, is the number of trials, is the probability of success, and is the probability of failure.
The beauty of this setup lies in the relationship between these two parameters. If we divide the variance by the mean, we get:
Since the sum of probabilities must be unity, we know .
Now, with in hand, we return to our mean equation: . Solving for , we find:
We have successfully defined our experiment: trials, with a success probability of and a failure probability of .

Defining the Target

The question asks for . This notation, , is simply a request to sum the probabilities of the individual, mutually exclusive events where the number of successes is , , or .
Mathematically, this is . We will use the general binomial probability formula:

The Calculation Grind

Let us calculate these one by one with precision.
For :
For :
For :
Notice how the denominator remains consistent? This is a gift of the binomial expansion. Summing these, we get:

Final Calculation

We are almost at the finish line. The problem asks for . Substituting our sum, we have:
Here is where we appreciate the elegance of numbers. We can write as and as . The expression becomes:
And there it is! The final result is .
I hope you can see that this wasn't just a calculation; it was a journey of uncovering hidden parameters to reveal a simple, elegant truth. Keep practicing, and keep falling in love with the process.

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