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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. Unimodality - Wikipedia

    en.wikipedia.org/wiki/Unimodality

    The definition of "unimodal" was extended to functions of real numbers as well. A common definition is as follows: a function f(x) is a unimodal function if for some value m, it is monotonically increasing for x ≤ m and monotonically decreasing for x ≥ m. In that case, the maximum value of f(x) is f(m) and there are no other local maxima.

  4. Sampling (statistics) - Wikipedia

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

    For example, in an opinion poll, possible sampling frames include an electoral register and a telephone directory. A probability sample is a sample in which every unit in the population has a chance (greater than zero) of being selected in the sample, and this probability can be accurately determined. The combination of these traits makes it ...

  5. Bayesian information criterion - Wikipedia

    en.wikipedia.org/wiki/Bayesian_information_criterion

    Both BIC and AIC attempt to resolve this problem by introducing a penalty term for the number of parameters in the model; the penalty term is larger in BIC than in AIC for sample sizes greater than 7. [1] The BIC was developed by Gideon E. Schwarz and published in a 1978 paper, [2] as a large-sample approximation to the Bayes factor.

  6. Bootstrapping (statistics) - Wikipedia

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

    (The sample mean need not be a consistent estimator for any population mean, because no mean needs to exist for a heavy-tailed distribution.) A well-defined and robust statistic for the central tendency is the sample median, which is consistent and median-unbiased for the population median. The bootstrap distribution for Newcomb's data appears ...

  7. Mode choice - Wikipedia

    en.wikipedia.org/wiki/Mode_choice

    Mode choice analysis is the third step in the conventional four-step transportation forecasting model of transportation planning, ... for example, the London study ...

  8. Mode effect - Wikipedia

    en.wikipedia.org/wiki/Mode_effect

    Mode effect is a broad term referring to a phenomenon where a particular survey administration mode causes different data to be collected. For example, when asking a question using two different modes (e.g. paper and telephone), responses to one mode may be significantly and substantially different from responses given in the other mode.

  9. Questionnaire construction - Wikipedia

    en.wikipedia.org/wiki/Questionnaire_construction

    Evaluation criteria: The criteria used to assess and score the response. The degree of standardization varies, ranging from strictly prescribed questions with predetermined answers to open-ended questions with subjective evaluation criteria. Responses to test items serve as indicators in the realm of social sciences.