Sigma Percentile
JEE Main 2021 (24 February Shift 2)
LEVELBoard

Animated Solution for Mathematics - Statistics: If the variance of 10 natural numbers is less than 10, then the maximum possible value of is

Enter Numerical Value:

Visualized Solution

Understanding the Data Set

  • Given data set:
  • Total number of observations ():
  • Constraint: Variance ()
  • Goal: Find the maximum integral value of .

The Variance Formula

  • The formula for Variance () is:
  • Where are the individual observations and is the total count.

Calculating the Sums

  • Sum of observations ():
  • Sum of squares of observations ():

Setting up the Inequality

  • Substitute , , and into :

Clearing the Denominators

  • Multiply the entire inequality by to clear denominators:

Expanding the Terms

  • Expand the brackets:

Simplifying the Quadratic

  • Combine like terms:

Factoring the Expression

  • Factor out and recognize the perfect square:

Solving for

  • Divide by and take the square root:

Final Conclusion

  • Since is a natural number ():
  • Maximum possible value of

The Sigma Insight: Variance and Standard Deviation

Solution Diagram

Analyzing the Setup

Imagine you are standing on a number line. You have a crowd of nine people standing exactly at the position . They are perfectly clustered, a static, unmoving group.
Then, you have one more person, a mysterious outlier named , who is wandering somewhere further down the line. Your goal is to keep the 'spread' of this group—the variance—under a strict limit of .
This is the essence of our problem. We are not just crunching numbers; we are managing the influence of an outlier on the collective behavior of a dataset.

The Mathematical Arsenal

To measure this spread, we reach for the most powerful tool in our statistical toolkit: the computational formula for variance:
Why this formula? Because it is elegant. It separates the sum of squares from the square of the sum, allowing us to handle our cluster of ones without calculating the mean for every single point.
We know our total count is . Our data set is .
The sum of these observations is simple: . The sum of their squares is equally straightforward: .

The Algebraic Dance

Substituting our values into the variance formula, we get:
The problem demands that this variance be strictly less than . So, we write:
This looks intimidating with the fractions, but do not panic. We can clear the denominators by multiplying the entire inequality by . This transforms our expression into:
Now, we expand. The first term becomes . The second term, using the identity , becomes .
Be careful with that negative sign! It distributes to every term inside, giving us:

The Final Revelation

Combining like terms is where the beauty of the problem reveals itself. gives us . The linear term is , and the constants leave us with .
Our inequality is now:
Notice the common factor of ? We factor it out: . That expression inside the parenthesis is a perfect square: .
So, we have:
Dividing by , we get , which is approximately . Taking the square root of both sides, we find .
This means . Since must be a natural number, the largest integer satisfying this condition is . We have successfully constrained our outlier.

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