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Statistics is the mathematical science involving the collection, analysis and interpretation of data. A number of specialties have evolved to apply statistical and methods to various disciplines. Certain topics have "statistical" in their name but relate to manipulations of probability distributions rather than to statistical analysis.
Students working in the Statistics Machine Room of the London School of Economics in 1964. Computational statistics, or statistical computing, is the study which is the intersection of statistics and computer science, and refers to the statistical methods that are enabled by using computational methods.
(seeing data as numbers in context, reading charts, graphs and tables, understanding numerical and graphical summaries of data, etc.) Statistics as a way of understanding the world: Can I use existing data to help make decisions? (using census data, birth and death rates, disease rates, CPI, ratings, rankings, etc., to describe, decide and defend)
While many scientific investigations make use of data, statistics is generally concerned with the use of data in the context of uncertainty and decision-making in the face of uncertainty. [12] [13] Statistics is indexed at 62, a subclass of probability theory and stochastic processes, in the Mathematics Subject Classification. [14]
Statistical activities are often associated with models expressed using probabilities, hence the connection with probability theory. The large requirements of data processing have made statistics a key application of computing. A number of statistical concepts have an important impact on a wide range of sciences.
Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...
According to the Journal Citation Reports, the journal has a 2020 impact factor of 1.791, ranking it 33rd out of 52 journals in the category "Social Sciences, Mathematical Methods", 53rd out of 125 journals in the category "Statistics & Probability" and 204th out of 378 journals in the category "Economics". [1] [2] [3]
[2] [3] [4] Al-Kindi also made the earliest known use of statistical inference. [1] 13th century – An important contribution of Ibn Adlan was on sample size for use of frequency analysis. [1] 13th century – the first known calculation of the probability for throwing 3 dices is published in the Latin poem De vetula.