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statistics

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statistics

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Also known as stats, statistical sciences

thumb|upright=1.3|right|The normal distribution, a very common probability density, is used extensively in [[inferential statistics.]] thumb|upright=1.3|right|Scatter plots and [[line charts are used in descriptive statistics to show the observed relationships between different variables, here using the Iris flower data set.]]

OverviewAI-generated

Statistics is an academic major and a subclass of mathematics and formal science. It is part of mathematics and economics. The field is the study of probability distribution. It has descriptive statistics as a part. Statistics is different from statistic. It is practiced by statistician.

The topic is maintained by WikiProject Mathematics and WikiProject Statistics. It is described by source Brockhaus and Efron Encyclopedic Dictionary, Jewish Encyclopedia of Brockhaus and Efron, Encyclopædia Britannica 11th edition, and Granat Encyclopedic Dictionary. The history of the topic is recorded in history of statistics. It is studied by sociolinguistics.

Statistics has a Commons category and a topic's main category. It has a topic's main Wikimedia portal. The classification of instructional programs code is 27.05 and 27.0501. The NCI Thesaurus ID is C17167. The subject is referenced by 5,472 other encyclopedia articles.

Synthesized by Vinony from 25 facts across 3 sources: Wikidata, PubMed, Vinony graph. Generated from structured data (not the Wikipedia text) and checked against those facts — may still contain errors.

Research

3,187,047 papers

via PubMed

~47 min read

Encyclopedic overview

35 sections
Contents
  • Introduction
  • Statistical data
  • Data collection
  • Sampling
  • Experimental and observational studies
  • Experiments
  • Observational study
  • Types of data
  • Methods
  • Descriptive statistics
  • Inferential statistics
  • Terminology and theory of inferential statistics
  • Statistics, estimators and pivotal quantities
  • Null hypothesis and alternative hypothesis
  • Error
  • Interval estimation
  • Significance
  • Examples
  • Bayesian statistics
  • Exploratory data analysis
  • Mathematical statistics
  • History
  • Applications
  • Applied statistics, theoretical statistics and mathematical statistics
  • Machine learning and data mining
  • Statistics in academia
  • Statistical computing
  • Business statistics
  • Specialized disciplines
  • Misuse
  • Misinterpretation: correlation
  • See also
  • References
  • Further reading
  • External links

thumb|upright=1.3|right|The normal distribution, a very common probability density, is used extensively in [[inferential statistics.]] thumb|upright=1.3|right|Scatter plots and [[line charts are used in descriptive statistics to show the observed relationships between different variables, here using the Iris flower data set.]]

Statistics (from German: '', "description of a state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments. Statistics is deeply related to subjects like physics, chemistry, geography, geopolitics, and especially mathematics.

Excerpted from Wikipedia’s “statistics” article, available under the CC BY-SA 4.0 licence.

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