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  2. Descriptive statistics - Wikipedia

    en.wikipedia.org/wiki/Descriptive_statistics

    A descriptive statistic (in the count noun sense) is a summary statistic that quantitatively describes or summarizes features from a collection of information, [1] while descriptive statistics (in the mass noun sense) is the process of using and analysing those statistics.

  3. Statistical graphics - Wikipedia

    en.wikipedia.org/wiki/Statistical_graphics

    Statistical graphics have been central to the development of science and date to the earliest attempts to analyse data. Many familiar forms, including bivariate plots, statistical maps, bar charts, and coordinate paper were used in the 18th century.

  4. Statistica - Wikipedia

    en.wikipedia.org/wiki/STATISTICA

    Statistica is a suite of analytics software originally developed by StatSoft and acquired by Dell in March 2014. The software includes an array of data analysis, data management, data visualization, and data mining procedures; as well as a variety of predictive modeling, clustering, classification, and exploratory techniques. [2]

  5. Logistic distribution - Wikipedia

    en.wikipedia.org/wiki/Logistic_distribution

    The probability density function is the partial derivative of the cumulative distribution function: (;,) = (;,) = / (+ /) = (() / + / ()) = ⁡ ().When the location parameter μ is 0 and the scale parameter s is 1, then the probability density function of the logistic distribution is given by

  6. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    Unistat – general statistics package that can also work as Excel add-in; WarpPLS – statistics package used in structural equation modeling; Wolfram Language [6] – the computer language that evolved from the program Mathematica. It has similar statistical capabilities as Mathematica.

  7. Gumbel distribution - Wikipedia

    en.wikipedia.org/wiki/Gumbel_distribution

    The standard Gumbel distribution is the case where = and = with cumulative distribution function =and probability density function = (+).In this case the mode is 0, the median is ⁡ (⁡ ()), the mean is (the Euler–Mascheroni constant), and the standard deviation is /