Question:

Find variance of first 2n natural numbers.

Updated On: May 20, 2023
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Solution and Explanation

To find the variance of the first 2n natural numbers, we first need to find the mean of the sequence. 

The mean is simply the sum of the numbers divided by the total count of numbers:
mean = \(\frac{(1 + 2 + 3 + ... + 2n)}{2n}\)

Using the formula for the sum of an arithmetic series, we can simplify the expression for the mean to:
mean = \(\frac{(2n + 1)}{2}\)
Next, we need to find the variance.

The variance is defined as the average of the squared differences from the mean. In other words:
variance = \(\frac{[(1 - mean)^2 + (2 - mean)^2 + ... + (2n - mean)^2]}{2n}\)

We can simplify this expression by expanding the squares and using the formula for the sum of the first n natural numbers: 
variance = \(\frac{[n(2n + 1)(4n + 1) - 6n(2n + 1) + 6n^2]}{(12n)}\)

Simplifying this expression, we get:
variance = \(\frac{(4n^2 - 1)}{12}\)

Therefore, the variance of the first 2n natural numbers is \(\frac{(4n^2 - 1)}{12}\).

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Concepts Used:

Variance and Standard Deviation

Variance:

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’.

Variance Formula:

Read More: Difference Between Variance and Standard Deviation

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’.

Types of Standard Deviation:

  • Standard Deviation for Discrete Frequency distribution
  • Standard Deviation for Continuous Frequency distribution

Standard Deviation Formulas:

1. Population Standard Deviation

2. Sample Standard Deviation