|  | ## T-Test

#### Synopsis

Performs a t-test to determine the probability for the null hypothesis 'the actual means are the same'.

#### Description

Determines if the null hypothesis (all actual mean values are the same) holds for the input performance vectors. This operator uses a simple (pairwise) t-test to determine the probability that the null hypothesis is wrong. Since a t-test can only be applied on two performance vectors this test will be applied to all possible pairs. The result is a significance matrix. However, pairwise t-test may introduce a larger type I error. It is recommended to apply an additional ANOVA test to determine if the null hypothesis is wrong at all.

#### Input

- performance 1: optional: PerformanceVector

#### Output

- significance:
- performance 1:

#### Parameters

- alpha: The probability threshold which determines if differences are considered as significant.

#### ExampleProcess