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v t e Statistics
Descriptive statistics Continuous data Location Mean (Arithmetic, Geometric, Harmonic) Median Mode Dispersion Range Standard deviation Coefficient of variation Percentile Interquartile range Shape Variance Skewness Kurtosis Moments L-moments Count data Index of dispersion Summary tables Grouped data Frequency distribution Contingency table Dependence Pearson product-moment correlation Rank correlation (Spearman's rho, Kendall's tau) Partial correlation Scatter plot Statistical graphics Bar chart Biplot Box plot Control chart Correlogram Fan chart Forest plot Histogram Pie chart Q–Q plot Run chart Scatter plot Stemplot Radar chart		<!-- -->
Data collection Designing studies Effect size Standard error Statistical power Sample size determination Survey methodology Sampling Stratified sampling Cluster sampling Opinion poll Questionnaire Controlled experiment Design of experiments Randomized experiment Random assignment Replication Blocking Factorial experiment <!-- Regression discontinuity --> Optimal design Uncontrolled studies Natural experiment Quasi-experiment Observational study
Statistical inference Statistical theory Sampling distribution Order statistic Scan statistic Record value Sufficiency Completeness Exponential family Permutation test (Randomization test) Empirical distribution Bootstrap U statistic Efficiency Asymptotics Robustness Frequentist inference Unbiased estimator (Mean unbiased minimum variance, Median unbiased) Biased estimators (Maximum likelihood, Method of moments, Minimum distance, Density estimation) Confidence interval Testing hypotheses<!-- plural, since alternatives are considered --> Power Parametric tests (Likelihood-ratio, Wald, Score) Specific tests Z (normal) Student's t-test F Goodness of fit (Chi-squared, G, Sample source, sample normality, Skewness & kurtosis Normality, Model comparison, Model quality) Signed-rank (1-sample, 2-sample, 1-way anova) Shapiro–Wilk Kolmogorov–Smirnov Bayesian inference Bayesian probability Prior Posterior Credible interval Bayes factor Bayesian estimator Maximum posterior estimator
Correlation and regression analysis Correlation Pearson product–moment correlation Partial correlation Confounding variable Coefficient of determination Regression analysis Errors and residuals Regression model validation Mixed effects models Simultaneous equations models MARS Linear regression Simple linear regression Ordinary least squares General linear model Bayesian regression Non-standard predictors Nonlinear regression Nonparametric Semiparametric Isotonic Robust Heteroscedasticity Homoscedasticity Generalized linear model Exponential families Logistic (Bernoulli) Binomial Poisson Partition of variance Analysis of variance (ANOVA) Analysis of covariance Multivariate ANOVA Degrees of freedom
Categorical, multivariate, time-series, or survival analysis Categorical data Cohen's kappa Contingency table Graphical model Log-linear model McNemar's test Multivariate statistics Multivariate regression Principal components Factor analysis Cluster analysis Classification Copulas Time series analysis General Decomposition Trend Stationarity Seasonal adjustment Exponential smoothing Cointegration Specific tests Granger causality Q-Statistic Durbin–Watson Time domain ACF PACF XCF ARMA model ARIMA model ARCH Vector autoregression Frequency domain Spectral density estimation Fourier analysis Wavelet Survival analysis Survival function Kaplan–Meier Logrank test Failure rate Proportional hazards models Accelerated failure time model
Applications Biostatistics Bioinformatics Clinical trials & studies Epidemiology Medical statistics Engineering statistics Chemometrics Methods engineering Probabilistic design Process & Quality control Reliability System identification Social statistics Actuarial science Census Crime statistics Demography Econometrics National accounts Official statistics Population Psychometrics Spatial statistics<!-- could be in time-series or multivariate analysis of course --> Cartography Environmental statistics Geographic information system Geostatistics Kriging
Category Portal Outline Index

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Usage

Place this template at the bottom of appropriate articles in statistics:

{{Statistics}}

For most articles transcluding this template, the name of that section of the template most relevant to the article (usually where a link to the article itself is found) should be added as a parameter. This configures the template to be shown with all but that section collapsed (hidden):

{{Statistics|descriptive}}

{{Statistics|collection}}

{{Statistics|inference}}

{{Statistics|correlation}}

{{Statistics|analysis}}

{{Statistics|applications}}

By default, {{Statistics}} appears "revealed", "expanded" or "uncollapsed" as above, i.e. not collapsed to leave only its titlebar. (When one of the parameters above is included, the section it identifies is also revealed/expanded/uncollapsed.) Adding  |state=collapsed  will make the template appear collapsed to its titlebar (e.g. {{Statistics |state=collapsed}}, {{Statistics |descriptive |state=collapsed}}, etc.).

See also

• {{Navbox with collapsible groups}}, the template used to make this template.

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• Statistics templates
• Applied Mathematics navigational boxes