Sigma Percentile
JEE Main 2020 - 2 Sep (Morning)
LEVELJEE Main

Animated Solution for Mathematics - Statistics: Let and . If mean and variance of elements of are 17 and 216 respectively then is equal to :

Select Answer:

Visualized Solution

Visualizing the Set

  • Given set
  • This is a set of the first natural numbers.
  • The elements form an Arithmetic Progression.

Formula for Mean of

  • Formula for mean of first natural numbers:

Substituting for Mean

  • Substitute :

Calculating the Mean of

Formula for Variance of

  • Formula for variance of first natural numbers:

Substituting for Variance

  • Substitute :

Calculating the Variance of

The Linear Transformation

  • Given transformation:
  • Mean of :
  • Variance of :

Variance under Transformation

  • Property:
  • Variance is independent of change of origin ().

Setting up the Variance Equation

  • Substitute the known values:

Solving for

  • Since , we take .

Mean under Transformation

  • Property:
  • Mean is affected by both change of origin and scale.

Setting up the Mean Equation

  • Substitute , , and :

Solving for

Final Calculation:

  • We have and .
  • Calculate :
  • Final Answer:

The Sigma Insight: Variance and Standard Deviation

Solution Diagram

Analyzing the Setup

Imagine you are standing before a perfectly ordered row of seventeen markers, labeled from to . This is our set . It is a symmetric arithmetic progression, and in the world of JEE Advanced, we approach such sequences using the elegant tools of statistics.

The Foundation

Analyzing Set
First, let us find the heart of our set . The mean of the first natural numbers is given by the formula:
With , we find . This is the balance point of our data.
Next, we look at the spread, or the variance. The variance of the first natural numbers is defined as:
Substituting , we get:
We have now unlocked the DNA of our original set: a mean of and a variance of .

The Transformation

Scaling and Shifting
Now, we introduce the transformation . We are told that the new mean is and the new variance is .
The crucial insight is that variance is a measure of spread. If you shift a set of numbers by adding , the spread does not change; only the scaling factor affects the variance. The property is:
Plugging in our values, we get:
Dividing both sides, we find . Since the problem mandates , we conclude .

The Final Piece

Finding the Shift
With in hand, we turn to the mean. Unlike variance, the mean is sensitive to both scaling and shifting according to the relationship:
We know , , and . Substituting these, we get:
Solving for , we find .
The final step is to calculate the sum of the parameters:
Through this journey, we have seen how mean and variance respond to the forces of scaling and shifting. The final result is .

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