plot, sometimes to a more general class of plots, and sometimes to the less commonly used P–P plot. The probability plot correlation coefficient plot...

plot, "Quantile-Quantile" plot Normal probability plot, a Q–Q plot against the standard normal distribution Probability plot correlation coefficient Probability...

The probability plot correlation coefficient (PPCC) plot is a graphical technique for identifying the shape parameter for a distributional family that...

A correlation coefficient is a numerical measure of some type of linear correlation, meaning a statistical relationship between two variables. The variables...

In statistics, the Pearson correlation coefficient (PCC) is a correlation coefficient that measures linear correlation between two sets of data. It is...

error Probability of precipitation Probability plot Probability plot correlation coefficient – redirects to Q–Q plot Probability plot correlation coefficient...

In statistics, Spearman's rank correlation coefficient or Spearman's ρ, named after Charles Spearman and often denoted by the Greek letter ρ {\displaystyle...

np-chart p-chart Pie chart Probability plot Normal probability plot Poincaré plot Probability plot correlation coefficient plot Q–Q plot Rankit Run chart Seasonal...

multivariate statistics, a scree plot is a line plot of the eigenvalues of factors or principal components in an analysis. The scree plot is used to determine the...

A violin plot is a statistical graphic for comparing probability distributions. It is similar to a box plot, with the addition of a rotated kernel density...

from the real class) and their geometric mean is the Matthews correlation coefficient.[citation needed] Whereas ROC AUC varies between 0 and 1 — with...

In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's τ coefficient (after the Greek letter τ, tau), is a statistic...

product-moment correlation coefficient (PPMCC), or "Pearson's correlation coefficient", commonly called simply "the correlation coefficient". It is obtained...

In probability theory and statistics, partial correlation measures the degree of association between two random variables, with the effect of a set of...

A funnel plot is a graph designed to check for the existence of publication bias; funnel plots are commonly used in systematic reviews and meta-analyses...

a volcano plot is a type of scatter-plot that is used to quickly identify changes in large data sets composed of replicate data. It plots significance...

Wikimedia Commons has media related to Forest plots. A forest plot, also known as a blobbogram, is a graphical display of estimated results from a number...

size will be the signal energy. In probability and statistics, the term cross-correlations refers to the correlations between the entries of two random...

distribution is more common than looking at a box plot, it can be useful to compare the box plot against the probability density function (theoretical histogram)...

correlated in the population). An example is the Pearson product-moment correlation coefficient, which is found by dividing the covariance of the two variables...

either type of variable can be plotted on either axis and a scatter plot will illustrate only the degree of correlation (not causation) between two variables...

tetrachoric correlation coefficient but it is only applicable to 2 × 2 tables. Polychoric correlation is an extension of the tetrachoric correlation to tables...

contrast, the marginal effect of xj on y can be assessed using a correlation coefficient or simple linear regression model relating only xj to y; this effect...

that plot data as the maximal total area, can be applied to sort the variables (axes) into relative positions that reveal distinct correlations, trade-offs...

to the kernel density. Sina plots are similar to violin plots, but while violin plots depict kernel density, sina plots depict the points themselves...

Biometrika 57, 519–530. Filliben, J. J. (February 1975). "The Probability Plot Correlation Coefficient Test for Normality". Technometrics. 17 (1): 111–117. doi:10...

program? A rank correlation coefficient can measure that relationship, and the measure of significance of the rank correlation coefficient can show whether...

normalize the autocovariance function to get a time-dependent Pearson correlation coefficient. However, in other disciplines (e.g. engineering) the normalization...

In probability theory and statistics, the coefficient of variation (CV), also known as normalized root-mean-square deviation (NRMSD), percent RMS, and...

binary variables. In machine learning, it is known as the Matthews correlation coefficient (MCC) and used as a measure of the quality of binary (two-class)...