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  2. Mode (statistics) - Wikipedia

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

    The mode of a sample is the element that occurs most often in the collection. For example, the mode of the sample [1, 3, 6, 6, 6, 6, 7, 7, 12, 12, 17] is 6. Given the list of data [1, 1, 2, 4, 4] its mode is not unique. A dataset, in such a case, is said to be bimodal, while a set with more than two modes may be described as multimodal.

  3. Range mode query - Wikipedia

    en.wikipedia.org/wiki/Range_mode_query

    The mode of the block can be retrieved from . By Theorem 1, the mode can be either an element of the prefix (indices of [:] before the start of the span), an element of the suffix (indices of [:] after the end of the span), or .

  4. Glossary of probability and statistics - Wikipedia

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

    Also confidence coefficient. A number indicating the probability that the confidence interval (range) captures the true population mean. For example, a confidence interval with a 95% confidence level has a 95% chance of capturing the population mean. Technically, this means that, if the experiment were repeated many times, 95% of the CIs computed at this level would contain the true population ...

  5. Unimodality - Wikipedia

    en.wikipedia.org/wiki/Unimodality

    The term "mode" in this context refers to any peak of the distribution, not just to the strict definition of mode which is usual in statistics. If there is a single mode, the distribution function is called "unimodal". If it has more modes it is "bimodal" (2), "trimodal" (3), etc., or in general, "multimodal". [2]

  6. Central tendency - Wikipedia

    en.wikipedia.org/wiki/Central_tendency

    A simple example of this is for the center of nominal data: instead of using the mode (the only single-valued "center"), one often uses the empirical measure (the frequency distribution divided by the sample size) as a "center".

  7. Marginal distribution - Wikipedia

    en.wikipedia.org/wiki/Marginal_distribution

    To find the joint probability distribution, more data is required. For example, suppose P(L = red) = 0.2, P(L = yellow) = 0.1, and P(L = green) = 0.7. Multiplying each column in the conditional distribution by the probability of that column occurring results in the joint probability distribution of H and L, given in the central 2×3 block of ...

  8. Talk:Mode (statistics) - Wikipedia

    en.wikipedia.org/wiki/Talk:Mode_(statistics)

    An editor has identified a potential problem with the redirect Math mode and has thus listed it for discussion. This discussion will occur at Wikipedia:Redirects for discussion/Log/2022 May 3#Math mode until a consensus is reached, and readers of this page are welcome to contribute to the discussion. 1234qwer 1234qwer 4 05:20, 3 May 2022 (UTC)

  9. Mathematical and theoretical biology - Wikipedia

    en.wikipedia.org/wiki/Mathematical_and...

    Mathematical and theoretical biology, or biomathematics, is a branch of biology which employs theoretical analysis, mathematical models and abstractions of living organisms to investigate the principles that govern the structure, development and behavior of the systems, as opposed to experimental biology which deals with the conduction of ...