Sigma Percentile
JEE Main 2002
LEVELBoard

Animated Solution for Mathematics - Probability: A dice is tossed 5 times. Getting an odd number is considered a success. Then the variance of distribution of success is

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Visualized Solution

The Experiment

  • The experiment consists of tossing a fair die times.
  • Each toss is an independent trial.

Defining Success

  • Success is defined as getting an odd number.
  • Odd numbers on a die: .

Probability of Success

  • Probability of success .

Probability of Failure

  • Probability of failure .
  • .

Variance Formula

  • The distribution follows a Binomial Distribution.
  • The formula for Variance is: .

Substituting Values

  • Substitute , , and into the formula.

Final Calculation

  • Multiply the terms: .

Conclusion

  • The variance of the distribution of success is .

The Sigma Insight: Binomial Distribution

Solution Diagram

The Thrill of Probability

Imagine you are holding a standard six-sided die in your hand. You are about to embark on a journey of five independent tosses.
Each toss is a moment of pure chance, yet within this randomness lies a beautiful, predictable structure. This is the essence of the Binomial Distribution, a cornerstone of probability theory that allows us to quantify uncertainty.

The Experiment

We are tossing a die times. Each toss is an independent trial, meaning the outcome of one toss does not influence the next.
This independence is crucial. It allows us to treat the entire experiment as a sequence of Bernoulli trials, where each trial has only two possible outcomes: success or failure.

Defining Success

The problem defines success as getting an odd number. On a standard die, the possible outcomes are .
The odd numbers are . Thus, there are 3 favorable outcomes. The probability of success is the ratio of favorable outcomes to total outcomes:
Conversely, the probability of failure is the complement of success:

The Binomial Framework

Now that we have our parameters—, , and —we can use the power of the Binomial Distribution. This distribution is designed to model the number of successes in a fixed number of independent trials.
One of its most elegant properties is the formula for variance:
This formula tells us how much the number of successes is expected to deviate from the mean. It is a measure of the spread or uncertainty in our experiment.

The Calculation

With the formula in hand, the final step is a simple substitution. We have , , and .
Substituting these into the formula, we get:
Performing the multiplication, we multiply the numerators: . Then, we multiply the denominators: .
The result is:

Conclusion

And there you have it! The variance of the distribution of success is .
This journey through the problem shows that even in a series of random dice tosses, we can find order and precision using the tools of probability. Keep practicing, and you will find that these concepts become second nature.

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