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  2. Grouped data - Wikipedia

    en.wikipedia.org/wiki/Grouped_data

    Another method of grouping the data is to use some qualitative characteristics instead of numerical intervals. For example, suppose in the above example, there are three types of students: 1) Below normal, if the response time is 5 to 14 seconds, 2) normal if it is between 15 and 24 seconds, and 3) above normal if it is 25 seconds or more, then the grouped data looks like:

  3. Frequency (statistics) - Wikipedia

    en.wikipedia.org/wiki/Frequency_(statistics)

    A frequency distribution shows a summarized grouping of data divided into mutually exclusive classes and the number of occurrences in a class. It is a way of showing unorganized data notably to show results of an election, income of people for a certain region, sales of a product within a certain period, student loan amounts of graduates, etc.

  4. Binomial regression - Wikipedia

    en.wikipedia.org/wiki/Binomial_regression

    An advantage of working with grouped data is that one can test the goodness of fit of the model; [2] for example, grouped data may exhibit overdispersion relative to the variance estimated from the ungrouped data.

  5. Kolmogorov–Smirnov test - Wikipedia

    en.wikipedia.org/wiki/Kolmogorov–Smirnov_test

    Illustration of the Kolmogorov–Smirnov statistic. The red line is a model CDF, the blue line is an empirical CDF, and the black arrow is the KS statistic.. Kolmogorov–Smirnov test (K–S test or KS test) is a nonparametric test of the equality of continuous (or discontinuous, see Section 2.2), one-dimensional probability distributions that can be used to test whether a sample came from a ...

  6. Generalized linear mixed model - Wikipedia

    en.wikipedia.org/wiki/Generalized_linear_mixed_model

    Generalized linear mixed model. In statistics, a generalized linear mixed model (GLMM) is an extension to the generalized linear model (GLM) in which the linear predictor contains random effects in addition to the usual fixed effects. [1][2][3] They also inherit from generalized linear models the idea of extending linear mixed models to non ...

  7. Unstructured data - Wikipedia

    en.wikipedia.org/wiki/Unstructured_data

    Unstructured data (or unstructured information) is information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Unstructured information is typically text -heavy, but may contain data such as dates, numbers, and facts as well. This results in irregularities and ambiguities that make it difficult to ...

  8. Study Archive - Wikipedia

    en.wikipedia.org/wiki/Study_Archive

    The Study Archive file format is a data compression and archive format, based directly on the ZIP file format. [1] Study archives are intended for the development and use of sets of interactive flashcards, which may contain not only text but also images and audio files, in various applications. The format was created in 2011 by The Mental ...

  9. Categorical variable - Wikipedia

    en.wikipedia.org/wiki/Categorical_variable

    Categorical data is the statistical data type consisting of categorical variables or of data that has been converted into that form, for example as grouped data. More specifically, categorical data may derive from observations made of qualitative data that are summarised as counts or cross tabulations , or from observations of quantitative data ...