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  2. Social statistics - Wikipedia

    en.wikipedia.org/wiki/Social_statistics

    Social statistics is the use of statistical measurement systems to study human behavior in a social environment. This can be accomplished through polling a group of people, evaluating a subset of data obtained about a group of people, or by observation and statistical analysis of a set of data that relates to people and their behaviors.

  3. List of fields of application of statistics - Wikipedia

    en.wikipedia.org/wiki/List_of_fields_of...

    Operations research (or operational research) is an interdisciplinary branch of applied mathematics and formal science that uses methods such as mathematical modeling, statistics, and algorithms to arrive at optimal or near optimal solutions to complex problems; Management science focuses on problems in the business world.

  4. Pearson correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Pearson_correlation...

    Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.

  5. Karl Pearson - Wikipedia

    en.wikipedia.org/wiki/Karl_Pearson

    Karl Pearson FRS FRSE [1] (/ ˈ p ɪər s ə n /; born Carl Pearson; 27 March 1857 – 27 April 1936 [2]) was an English biostatistician and mathematician. [3] [4] He has been credited with establishing the discipline of mathematical statistics.

  6. Bivariate analysis - Wikipedia

    en.wikipedia.org/wiki/Bivariate_analysis

    Pearson correlation coefficient. Three important notes should be highlighted with regard to correlation: The presence of outliers can severely bias the correlation coefficient. Large sample sizes can result in statistically significant correlations that may have little or no practical significance.

  7. Foundations of statistics - Wikipedia

    en.wikipedia.org/wiki/Foundations_of_statistics

    Statistics subsequently branched out into various directions, including decision theory, Bayesian statistics, exploratory data analysis, robust statistics, and non-parametric statistics. Neyman-Pearson hypothesis testing made significant contributions to decision theory, which is widely employed, particularly in statistical quality control.

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  9. History of statistics - Wikipedia

    en.wikipedia.org/wiki/History_of_statistics

    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. These include the design of experiments and approaches to statistical inference such as Bayesian inference , each of which can be considered to have their own ...