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...

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

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

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

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

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

In statistics, Spearman's rank correlation coefficient or Spearman's ρ is a number ranging from -1 to 1 that indicates how strongly two sets of ranks...

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)...

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

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...

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

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...

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

scatter plot and many other statistical tools to pursue a scientific basis for eugenics. When, in 1886, Galton published a scatter plot and correlation ellipse...

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)...

A ridgeline plot (also known as a joyplot) is a series of line plots that are combined by vertical stacking to allow the easy visualization of changes...

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

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

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

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

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...

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

recall), or the Matthews correlation coefficient, which is a geometric mean of the chance-corrected variants: the regression coefficients Informedness (DeltaP')...

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...

In probability theory, the tail dependence of a pair of random variables is a measure of their comovements in the tails of the distributions. The concept...

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

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

joint-probability of agreement, such as Cohen's kappa, Scott's pi and Fleiss' kappa; or inter-rater correlation, concordance correlation coefficient, intra-class...

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...

Pearson product–moment correlation coefficient (also referred to as the Pearson correlation coefficient or correlation coefficient), which is usually denoted...