Function sim::output_analysis::t_scores::t_score

pub fn t_score<T: Float>(alpha: T, df: usize) -> T

The analysis of simulation outputs is often an analysis of means. In these cases, the central limit theorem can be used for (among other things), the construction of confidence intervals. A T score (Student T distribution) is used when the degrees of freedom for the data is less than 100, and a Z core (Normal distribution) is used when the degrees of freedom is greater than 100.