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  2. Mid-range - Wikipedia

    en.wikipedia.org/wiki/Mid-range

    Mid-range is a measure of central tendency of a sample defined as the arithmetic mean of the maximum and minimum values. Learn how to find mid-range, its efficiency, robustness, and sampling properties for different distributions.

  3. Interquartile range - Wikipedia

    en.wikipedia.org/wiki/Interquartile_range

    The interquartile range (IQR) is a measure of statistical dispersion, which is the spread of the data. It is defined as the difference between the 75th and 25th percentiles of the data, and can be used to build box plots, identify outliers, and test normality.

  4. Kurtosis - Wikipedia

    en.wikipedia.org/wiki/Kurtosis

    Kurtosis is a statistical measure of the degree of "tailedness" or outliers in a probability distribution. Learn about different methods of quantifying kurtosis, such as Pearson's kurtosis and excess kurtosis, and how they relate to the normal distribution.

  5. Median - Wikipedia

    en.wikipedia.org/wiki/Median

    Learn how to calculate the median of a set of numbers, a measure of location that is not affected by extreme values. The median is the value separating the higher half from the lower half of a data sample, population, or probability distribution.

  6. Mode (statistics) - Wikipedia

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

    Learn about the mode, a measure of central tendency that is the most frequent value in a data set. Compare the mode with the mean and the median, and see how to calculate and estimate it for discrete and continuous distributions.

  7. Quartile - Wikipedia

    en.wikipedia.org/wiki/Quartile

    A quartile is a quantile that divides a data set into four equal parts. The first quartile (Q1) is the 25th percentile, the second quartile (Q2) is the median, and the third quartile (Q3) is the 75th percentile. Learn how to compute quartiles for discrete and continuous distributions.

  8. Frequency (statistics) - Wikipedia

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

    Learn how to calculate and depict frequency distributions of events in statistics. Find out the types, methods and applications of frequency analysis, and see examples of histograms, bar graphs and tables.

  9. Statistical dispersion - Wikipedia

    en.wikipedia.org/wiki/Statistical_dispersion

    Learn about the concept and measures of statistical dispersion, which is the extent to which a distribution is stretched or squeezed. Compare different types of dispersion measures, such as standard deviation, interquartile range, and entropy, and their applications in various fields.

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