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  2. Statistical data type - Wikipedia

    en.wikipedia.org/wiki/Statistical_data_type

    The data type is a fundamental concept in statistics and controls what sorts of probability distributions can logically be used to describe the variable, the permissible operations on the variable, the type of regression analysis used to predict the variable, etc.

  3. Notation in probability and statistics - Wikipedia

    en.wikipedia.org/wiki/Notation_in_probability...

    Random variables are usually written in upper case Roman letters, such as or and so on. Random variables, in this context, usually refer to something in words, such as "the height of a subject" for a continuous variable, or "the number of cars in the school car park" for a discrete variable, or "the colour of the next bicycle" for a categorical variable.

  4. 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 ...

  5. List of probability distributions - Wikipedia

    en.wikipedia.org/wiki/List_of_probability...

    The Dirac delta function, although not strictly a probability distribution, is a limiting form of many continuous probability functions. It represents a discrete probability distribution concentrated at 0 — a degenerate distribution — it is a Distribution (mathematics) in the generalized function sense; but the notation treats it as if it ...

  6. Categorical distribution - Wikipedia

    en.wikipedia.org/wiki/Categorical_distribution

    In probability theory and statistics, a categorical distribution (also called a generalized Bernoulli distribution, multinoulli distribution [1]) is a discrete probability distribution that describes the possible results of a random variable that can take on one of K possible categories, with the probability of each category separately specified.

  7. Categorical probability - Wikipedia

    en.wikipedia.org/wiki/Categorical_probability

    In mathematics, the term categorical probability denotes a collection of category-theoretic approaches to probability theory and related fields such as statistics, ...

  8. Glossary of probability and statistics - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_probability...

    Contrast conditional probability. Markov chain Monte Carlo mathematical statistics maximum likelihood estimation mean 1. The expected value of a random variable. 2. The arithmetic mean, i.e. the mathematical average of a set of numerical values, calculated by dividing the sum of the values by the number of values. median median absolute ...

  9. Univariate (statistics) - Wikipedia

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

    A numerical univariate data is discrete if the set of all possible values is finite or countably infinite. Discrete univariate data are usually associated with counting (such as the number of books read by a person). A numerical univariate data is continuous if the set of all possible values is an interval of numbers.