Editing Analysis (section)

===Statistics===
In [[statistics]], the term ''analysis'' may refer to any method used
for [[data analysis]]. Among the many such methods, some are:
* [[Analysis of variance]] (ANOVA)&nbsp;– a collection of statistical models and their associated procedures which compare means by splitting the overall observed variance into different parts
* [[Boolean analysis]]&nbsp;– a method to find deterministic dependencies between variables in a sample, mostly used in exploratory data analysis
* [[Cluster analysis]]&nbsp;– techniques for finding groups (called clusters), based on some measure of proximity or similarity
* [[Factor analysis]]&nbsp;– a method to construct models describing a data set of observed variables in terms of a smaller set of unobserved variables (called factors)
* [[Meta-analysis]]&nbsp;– combines the results of several studies that address a set of related research hypotheses
* [[Multivariate analysis]]&nbsp;– analysis of data involving several variables, such as by factor analysis, regression analysis, or principal component analysis
* [[Principal component analysis]]&nbsp;– transformation of a sample of correlated variables into uncorrelated variables (called principal components), mostly used in exploratory data analysis
* [[Regression analysis]]&nbsp;– techniques for analysing the relationships between several predictive variables and one or more outcomes in the data
* [[Scale analysis (statistics)]]&nbsp;– methods to analyse survey data by scoring responses on a numeric scale
* [[Sensitivity analysis]]&nbsp;– the study of how the variation in the output of a model depends on variations in the inputs
* [[Sequential analysis]]&nbsp;– evaluation of sampled data as it is collected, until the criterion of a stopping rule is met
* [[Spatial analysis]]&nbsp;– the study of entities using geometric or geographic properties
* [[Time-series analysis]]&nbsp;– methods that attempt to understand a sequence of data points spaced apart at uniform time intervals