binary statistic
1Statistic (role-playing games) — Part of a series on …
2Odds ratio — The odds ratio [1][2][3] is a measure of effect size, describing the strength of association or non independence between two binary data values. It is used as a descriptive statistic, and plays an important role in logistic regression. Unlike… …
3List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… …
4Effect size — In statistics, an effect size is a measure of the strength of the relationship between two variables in a statistical population, or a sample based estimate of that quantity. An effect size calculated from data is a descriptive statistic that… …
5Selection algorithm — In computer science, a selection algorithm is an algorithm for finding the kth smallest number in a list (such a number is called the kth order statistic). This includes the cases of finding the minimum, maximum, and median elements. There are… …
6Predictive analytics — encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… …
7Mann–Whitney U — In statistics, the Mann–Whitney U test (also called the Mann–Whitney–Wilcoxon (MWW) or Wilcoxon rank sum test) is a non parametric statistical hypothesis test for assessing whether one of two samples of independent observations tends to have… …
8Phi coefficient — In statistics, the phi coefficient (also referred to as the mean square contingency coefficient and denoted by φ or rφ) is a measure of association for two binary variables introduced by Karl Pearson[1]. This measure is similar to the Pearson… …
9Receiver operating characteristic — In signal detection theory, a receiver operating characteristic (ROC), or simply ROC curve, is a graphical plot of the sensitivity vs. (1 specificity) for a binary classifier system as its discrimination threshold is varied. The ROC can also be… …
10Durbin test — In the analysis of designed experiments, the Friedman test is the most common non parametric test for complete block designs. The Durbin test is a nonparametric test for balanced incomplete designs that reduces to the Friedman test in the case of …
