## Test for different variances

Purpose

Description

Macro Synopsis

Modules

Related Functions

References

### Purpose

F-based significance test for different variances

### Description

"Test for different variances" examines whether the variances of two distributions (here: signals) are significantly different and displays the results in the message window.
Return parameters of "Test for different variances" are

- the F-value F, which is the ratio of one variance to the other, and
- the significance
`signif`, i.e. the probability [0..1] of randomly equal variances, where small values indicate significantly different variances.

### Macro Synopsis

`TestDiffVar ([xA,xB],&F,&signif)`

signal xA,xB;

float F,signif;

### Modules

Statistics

### Related Functions

BDS test, Kolmogorov-Smirnov test,
Test for different histograms,
Test for different means, Test for non-normal-distributed data,
Test for non-white-noise,
Test for the mean of a Gaussian, Test for the variance of a Gaussian,
Wilcoxon test

### References

Hollander/Wolfe [13], Lehmann [36]