statistics
Sign in to savethumb|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.]]
AI overview
Statistics is the field of study focused on collecting, organizing, and analyzing data to understand relationships between variables and make conclusions about larger groups based on samples. It matters because it provides tools and methods to extract meaningful insights from data and draw reliable conclusions, which are essential for informed decision-making across science, business, and policy.
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Wikidata facts
- Instance of
- academic major
- Subclass of
- formal science
- Part of
- economics
- Image
- Standard Normal Distribution-en.svg
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- P1151
- Portal:Statistics
- P1889
- statistic
- P1424
- Template:Statistics
Article
35 sectionsContents
- 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.