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  2. Mode (statistics) - Wikipedia

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

    In statistics, the mode is the value that appears most often in a set of data values. [1] If X is a discrete random variable, the mode is the value x at which the probability mass function takes its maximum value (i.e., x=argmax x i P(X = x i)). In other words, it is the value that is most likely to be sampled.

  3. Triangular distribution - Wikipedia

    en.wikipedia.org/wiki/Triangular_distribution

    This distribution for a = 0, b = 1 and c = 0.5—the mode (i.e., the peak) is exactly in the middle of the interval—corresponds to the distribution of the mean of two standard uniform variables, that is, the distribution of X = (X 1 + X 2) / 2, where X 1, X 2 are two independent random variables with standard uniform distribution in [0, 1]. [1]

  4. Log-normal distribution - Wikipedia

    en.wikipedia.org/wiki/Log-normal_distribution

    The most efficient way to obtain interval estimates when analyzing log-normally distributed data consists of applying the well-known methods based on the normal distribution to logarithmically transformed data and then to back-transform results if appropriate.

  5. Multimodal distribution - Wikipedia

    en.wikipedia.org/wiki/Multimodal_distribution

    In statistics, a multimodal distribution is a probability distribution with more than one mode (i.e., more than one local peak of the distribution). These appear as distinct peaks (local maxima) in the probability density function, as shown in Figures 1 and 2. Categorical, continuous, and discrete data can all form multimodal distributions.

  6. Bootstrapping (statistics) - Wikipedia

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

    Transformation invariant - the confidence intervals from bootstrapping transformed data (e.g., by taking the logarithm) would ideally be the same as transforming the confidence intervals from bootstrapping the untransformed data. Confidence intervals should be valid or consistent, i.e., the probability a parameter is in a confidence interval ...

  7. Credible interval - Wikipedia

    en.wikipedia.org/wiki/Credible_interval

    The smallest credible interval (SCI), sometimes also called the highest density interval. This interval will necessarily include the median whenever . When the distribution is unimodal, this interval will include the mode. The smallest credible region (SCR), sometimes also called the highest density region. For a multimodal distribution, this ...

  8. Want To Know How Fit You Really Are? Here’s The Stat ... - AOL

    www.aol.com/want-know-fit-really-stat-110000210.html

    Exercise mode of testing: The method of fitness used during a VO2 max test can also alter the findings—a treadmill test may yield different results than, say, cycling or swimming.

  9. Central tendency - Wikipedia

    en.wikipedia.org/wiki/Central_tendency

    the middle value that separates the higher half from the lower half of the data set. The median and the mode are the only measures of central tendency that can be used for ordinal data, in which values are ranked relative to each other but are not measured absolutely. Mode the most frequent value in the data set.