The tool also estimates the statistics that one would obtain if the computed estimates correspond to a set of paired variables (x, y), or to effect sizes from any two samples of same sizes (n1 and n2); i.e. samples with same degrees of freedom (υ1 and υ2).
The following are estimated
Pearson's Correlation Coefficient,
Standard Error of Correlations,
Signal (explained variations) or r2,
Noise (unexplained variations) or 1 - r2,
Signal-to-Noise Ratio or Cohen's f2,
Square Root of Signal/Noise Ratio or Cohen's f,
Standardized Mean Difference or Cohen's d,
Log Odds Ratio L,
Although SE and N are not effect sizes, these are listed as supporting data. Conversions between effect sizes are available online (Beasley, 2007; Borenstein, Hedges, Higgins, & Rothstein, 2009; Psychometrica.de, 2017; Rosenthal & Rubin, 1982).