Sigma Percentile
JEE Main 2025 April
LEVELJEE Main

Animated Solution for Mathematics - Statistics: Let the Mean and Variance of five observations and , be 5 and 10 respectively. Then the Variance of the observations is

Select Answer:

Visualized Solution

Understanding the Given Data

  • Observations:
  • Mean
  • Variance
  • Constraint:

Applying the Mean Formula

  • Mean Formula:
  • Substitution:

Solving for

  • Result:

Applying the Variance Formula

  • Variance Formula:
  • Substitution:

Simplifying the Variance Equation

  • Result:

Finding the Product

  • Identity:
  • Substitution:

Solving for and

  • Quadratic Equation:
  • Since :

Defining New Observations

  • New Rule: for
  • :
  • :
  • :
  • :
  • :

Calculating New Mean

  • New Mean:

Calculating

  • Sum of Squares:

Calculating Final Variance

  • New Variance:

The Sigma Insight: Variance and Standard Deviation

Solution Diagram

Analyzing the Setup

Welcome, future engineer. Today, we are not just solving a statistics problem; we are performing detective work. In the world of JEE Advanced, statistics is often dismissed as 'easy' or 'formula-based,' but that is a grave mistake.
Statistics is the language of uncertainty, and mastering it requires a blend of algebraic precision and logical intuition. Let us dive into this problem, where we have five observations, two of which are shrouded in mystery: and .

The Detective Work

Imagine you are standing before a set of data points: . We are given the mean and the variance . The mean is the 'center of gravity' of your data, defined by the formula:
When we apply this to our set, we get:
Do not rush the arithmetic. When you multiply the from the denominator to the other side, you get . Summing the known integers gives us .
Thus, our first equation is born: , or simply:
This is our first anchor point. We know the sum of our unknowns is .

The Algebraic Bridge

Now, we need the second piece of the puzzle. We have the variance, which measures the 'spread' or the 'volatility' of our data. The formula is your best friend here.
Substituting our knowns, we have:
The square of the mean, , moves to the left to join the , giving us . Multiplying by gives us . On the right, we have , which simplifies to .
Solving for , we find . Now we have two beautiful equations: and .

The Quadratic Twist

How do we extract and from these? We use the algebraic identity . This is the bridge that connects the sum to the product.
Substituting our values:
This leads to , which simplifies to , or . Now, we need two numbers that add to and multiply to .
You could solve the quadratic , but your intuition might already be screaming the answer: and . Since the problem explicitly states , we assign and . The mystery is solved; our data set is .

The Transformation

But wait, the problem isn't over! We are asked to find the variance of a new set of observations, . This is a transformation where we add the index to each observation.
Let us calculate these new values: - - - - -
Our new set is . To find the variance, we need the new mean . The sum is . Dividing by , we get .
Finally, we calculate the sum of squares for the new set:
Applying the variance formula one last time:
There it is. The final answer is . You navigated the algebra, respected the constraints, and performed the transformation with precision.

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