# Performing F-Test in R programming – var.test() Method

• Last Updated : 07 Jan, 2022

var.test() Method in R Programming language perform the f-test between two normal populations with some hypothesis that variances of two populations are equal in R programming.

### var.test() Method in R Syntax

Syntax: var.test()

Return: Returns the F-Test score for some hypothesis.

Example 1:

## R

 `x <- ``rnorm``(50, mean=0)``y <- ``rnorm``(50, mean=1)` `# Using var.test() method``gfg <- ``var.test``(x, y)` `print``(gfg)`

Output:

F test to compare two variances

data:  x and y

F = 1.0779, num df = 49, denom df = 49, p-value = 0.794

alternative hypothesis: true ratio of variances is not equal to 1

95 percent confidence interval:

0.6116778 1.8994484

sample estimates:

ratio of variances

1.077892

Example 2:

## R

 `x <- ``rnorm``(50, mean=1.2)``y <- ``rnorm``(50, mean=1.8)` `# Using var.test() method``gfg <- ``var.test``(x, y)` `print``(gfg)`

Output:

F test to compare two variances

data:  x and y

F = 2.382, num df = 49, denom df = 49, p-value = 0.002911

alternative hypothesis: true ratio of variances is not equal to 1

95 percent confidence interval:

1.351715 4.197491

sample estimates:

ratio of variances

2.381976

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