Test for different variances
F-based significance test for different variances
"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.
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,
Hollander/Wolfe , Lehmann