Summary statistics for contingency tables

statistic quantifying the association between two events

performance of a binary classifier system as its discrimination threshold is varied

statistic measuring inter-rater agreement for categorical items

statistical test used on paired nominal data

thumb|350px|Precision and recall In statistical analysis of binary classification and information retrieval systems, the F-score or F-measure is a measure of predictive performance. It is calculated from the precision and recall of the test, where the precision is the number of true positive results divided by the number of all samples predicted to be positive, including those not identified correctly, and the recall is the number of true positive results divided by the number of all samples that should have been identified as positive. Precision is also known as positive predictive value, and

statistical method for handling multiple comparisons

How often identical letters appear in the same position in two texts

type of coefficient

in biostatistics, proportion of true positive and true negative results

information Theory

likelihood ratios used for assessing the value of performing a diagnostic test

statistical measure of association

statistic for rank correlation

Statistical measure

test used in the analysis of stratified or matched categorical data

measure of similarity between two data clusterings