To determine the truth of the given statements, let's analyze them one by one.
Statement-1: The variance of the first \( n \) even natural numbers is \(\frac{n^2 - 1}{4}\).
To find the variance of the first \( n \) even natural numbers, let's consider the sequence: \( 2, 4, 6, \ldots, 2n \).
- The mean (\(\mu\)) of these numbers is calculated as:
\(\mu = \frac{\text{Sum of first } n \text{ even numbers}}{n}\).
The sum of the first \( n \) even natural numbers is \( n(n + 1) \). Therefore, the mean is:
\(\mu = \frac{n(n+1)}{n} = (n+1)\).
- The variance is calculated using the formula:
\(\text{Variance} = \frac{\sum (x_i - \mu)^2}{n}\).
- First, compute the sum of squares of the even numbers:
\( (2^2 + 4^2 + 6^2 + \ldots + (2n)^2) = 4(1^2 + 2^2 + 3^2 + \ldots + n^2) \).
Using the formula for the sum of squares of the first \( n \) natural numbers:
\(\frac{n(n + 1)(2n +1)}{6}\), we get:
\(\text{Sum of squares} = 4 \cdot \frac{n(n+1)(2n+1)}{6}\).
- The variance can be calculated as follows:
\(\text{Variance} = \frac{4 \cdot \frac{n(n+1)(2n+1)}{6} - n(n+1)^2}{n}\).
Upon simplifying, the variance does not reduce to \(\frac{n^2 - 1}{4}\).
So, Statement-1 is false.
Statement-2: The sum of the first \( n \) natural numbers is \(\frac{n(n + 1)}{2}\) and the sum of squares of the first \( n \) natural numbers is \(\frac{n(n + 1)(2n +1)}{6}\).
Both formulas are standard and widely accepted in mathematics:
- The sum of the first \( n \) natural numbers is
\(\frac{n(n + 1)}{2}\).
- The sum of the squares of the first \( n \) natural numbers is
\(\frac{n(n + 1)(2n +1)}{6}\).
These formulas are correct, hence Statement-2 is true.
Conclusion: According to the above analysis, Statement-1 is false and Statement-2 is true. Therefore, the correct answer is: Statement-1 is false, Statement-2 is true.