Outline of statistics

Overview of and topical guide to statistics
Statistics
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The following outline is provided as an overview of and topical guide to statistics:

Statistics is a field of inquiry that studies the collection, analysis, interpretation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the physical and social sciences to the humanities; it is also used and misused for making informed decisions in all areas of business and government.

Nature of statistics

Statistics can be described as all of the following:

  • An academic discipline: one with academic departments, curricula and degrees; national and international societies; and specialized journals.
  • A scientific field (a branch of science) – widely recognized category of specialized expertise within science, and typically embodies its own terminology and nomenclature. Such a field will usually be represented by one or more scientific journals, where peer reviewed research is published.
  • A formal science – branch of knowledge concerned with formal systems.
  • A mathematical science – field of science that is primarily mathematical in nature but may not be universally considered subfields of mathematics proper. Statistics, for example, is mathematical in its methods but grew out of political arithmetic which merged with inverse probability and grew through applications in the social sciences and some areas of physics and biometrics to become its own separate, though closely allied, field.

History of statistics

Describing data

Experiments and surveys

Sampling

Analysing data

Filtering data

Statistical inference

Probability distributions

Random variables

Probability theory

Computational statistics

Statistics software

Statistics organizations

Statistics publications

Persons influential in the field of statistics

See also

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Statistics at Wikipedia's sister projects
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Continuous data
Center
Dispersion
Shape
Count data
Summary tables
Dependence
Graphics
Study design
Survey methodology
Controlled experiments
Adaptive designs
Observational studies
Statistical theory
Frequentist inference
Point estimation
Interval estimation
Testing hypotheses
Parametric tests
Specific tests
  • Z-test (normal)
  • Student's t-test
  • F-test
Goodness of fit
Rank statistics
Bayesian inference
Correlation
Regression analysis
Linear regression
Non-standard predictors
Generalized linear model
Partition of variance
Categorical
Multivariate
Time-series
General
Specific tests
Time domain
Frequency domain
Survival
Survival function
Hazard function
Test
Biostatistics
Engineering statistics
Social statistics
Spatial statistics
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