# Coefficient of Variance for 2, 4, 3, 5 & 6

0.3953 is the CV for dataset 2, 4, 3, 5 & 6.

The complete work with step by step calculation for CV of 2, 4, 3, 5 & 6 may helpful for grade school students, beginners or learners to know how to solve the similar worksheet problems. Users may compare the coefficient of variation 0.3953 with CV of different data distributions to identify the best competing surveys or experiments by using this calculator.

## Work for CV of 2, 4, 3, 5 & 6

The below workout with step by step work or calculation may help grade school students or learners to understand how to find what is the coefficient of *variance* for the data set 2, 4, 3, 5 & 6.

__Workout :__

step 1 Address the *formula*, input parameters & values

Input parameters & values

x_{1} = 2, x_{2} = 4, x_{3} = 3, . . . . , x_{5} = 6

Number of elements n = 5

Find CV for sample distribution 2, 4, 3, 5 & 6

step 2 *Find the mean for 2, 4, 3, 5 & 6*

µ =
n
∑
i = 1
X_{i}n

=(2 + 4 + 3 + . . . . + 6)/5

µ = 4

step 3 *Find the standard deviation for 2, 4, 3, 5 & 6*

=√{ (2 - 4)² + (4 - 4)² + (3 - 4)² + . . . . + (6 - 4)²}/4

= √(-2)² + (0)² + (-1)² + . . . . + (2)²/4

= √(4 + 0 + 1 + . . . . + 4)/4

= √10/4

= √2.5

σ = 1.5811

step 4 Apply standard deviation and mean values in the below coefficient of variance formula

CV =σ/µ

= 1.5811/4

= 0.3953

For the sample distribution 2, 4, 3, 5 & 6

4 is the mean

1.5811 is the standard deviation

0.3953 is the coefficient of variance