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  2. Quartile - Wikipedia

    en.wikipedia.org/wiki/Quartile

    The lower quartile value is the median of the lower half of the data. The upper quartile value is the median of the upper half of the data. This rule is employed by the TI-83 calculator boxplot and "1-Var Stats" functions.

  3. Interquartile range - Wikipedia

    en.wikipedia.org/wiki/Interquartile_range

    In descriptive statistics, the interquartile range ( IQR) is a measure of statistical dispersion, which is the spread of the data. [ 1] The IQR may also be called the midspread, middle 50%, fourth spread, or H‑spread. It is defined as the difference between the 75th and 25th percentiles of the data. [ 2][ 3][ 4] To calculate the IQR, the data ...

  4. Quantile - Wikipedia

    en.wikipedia.org/wiki/Quantile

    Quantile. Probability density of a normal distribution, with quantiles shown. The area below the red curve is the same in the intervals (−∞,Q1), (Q1,Q2), (Q2,Q3), and (Q3,+∞). In statistics and probability, quantiles are cut points dividing the range of a probability distribution into continuous intervals with equal probabilities, or ...

  5. Quantile function - Wikipedia

    en.wikipedia.org/wiki/Quantile_function

    The quantile function, Q, of a probability distribution is the inverse of its cumulative distribution function F. The derivative of the quantile function, namely the quantile density function, is yet another way of prescribing a probability distribution. It is the reciprocal of the pdf composed with the quantile function.

  6. Percentile - Wikipedia

    en.wikipedia.org/wiki/Percentile

    The 25th percentile is also known as the first quartile (Q 1), the 50th percentile as the median or second quartile (Q 2), and the 75th percentile as the third quartile (Q 3). For example, the 50th percentile (median) is the score below (or at or below, depending on the definition) which 50% of the scores in the distribution are found.

  7. Five-number summary - Wikipedia

    en.wikipedia.org/wiki/Five-number_summary

    The five-number summary is a set of descriptive statistics that provides information about a dataset. It consists of the five most important sample percentiles : the sample minimum (smallest observation) the lower quartile or first quartile. the median (the middle value) the upper quartile or third quartile.

  8. Box plot - Wikipedia

    en.wikipedia.org/wiki/Box_plot

    Box plot of data from the Michelson experiment. In descriptive statistics, a box plot or boxplot is a method for demonstrating graphically the locality, spread and skewness groups of numerical data through their quartiles. [ 1] In addition to the box on a box plot, there can be lines (which are called whiskers) extending from the box indicating ...

  9. Quartile coefficient of dispersion - Wikipedia

    en.wikipedia.org/wiki/Quartile_coefficient_of...

    In statistics, the quartile coefficient of dispersion is a descriptive statistic which measures dispersion and is used to make comparisons within and between data sets. Since it is based on quantile information, it is less sensitive to outliers than measures such as the coefficient of variation. As such, it is one of several robust measures of ...