Variance of first 2n natural numbers?
To find the mean and variance of \( n \) natural numbers:
Step 1: Mean
The sum of the first \( n \) natural numbers is given by the formula:
\[
\frac{n(n+1)}{2}
\]
To calculate the mean, we divide the sum by \( n \). Therefore, the mean of the first \( n \) natural numbers is:
\[
\frac{n(n+1)}{2n} = \frac{n+1}{2}
\]
Thus, the mean is \( \frac{n+1}{2} \).
Step 2: Variance
The variance is a measure of how much the numbers deviate from the mean. It can be calculated using the formula:
\[
\text{Variance} = \frac{1}{n} \sum_{i=1}^n (x_i - \mu)^2
\]
However, an alternative formula for the variance of the first \( n \) natural numbers is given by:
\[
\frac{6n(n+1)(2n+1) - (n+1)^2}{(2n+1)}
\]
Simplifying this expression gives:
\[
\frac{12n^2 - 1}{(2n+1)}
\]
Final Answer:
Hence, the correct option for the variance is:
\[
\frac{12n^2 - 1}{(2n+1)}
\]
Let the Mean and Variance of five observations $ x_i $, $ i = 1, 2, 3, 4, 5 $ be 5 and 10 respectively. If three observations are $ x_1 = 1, x_2 = 3, x_3 = a $ and $ x_4 = 7, x_5 = b $ with $ a>b $, then the Variance of the observations $ n + x_n $ for $ n = 1, 2, 3, 4, 5 $ is
According to layman’s words, the variance is a measure of how far a set of data are dispersed out from their mean or average value. It is denoted as ‘σ2’.
Read More: Difference Between Variance and Standard Deviation
The spread of statistical data is measured by the standard deviation. Distribution measures the deviation of data from its mean or average position. The degree of dispersion is computed by the method of estimating the deviation of data points. It is denoted by the symbol, ‘σ’.
1. Population Standard Deviation
2. Sample Standard Deviation