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  2. Quartile - Wikipedia

    en.wikipedia.org/wiki/Quartile

    Interquartile range (IQR) is defined as the difference between the 75th and 25th percentiles or Q 3 - Q 1. While the maximum and minimum also show the spread of the data, the upper and lower quartiles can provide more detailed information on the location of specific data points, the presence of outliers in the data, and the difference in spread ...

  3. Quantile - Wikipedia

    en.wikipedia.org/wiki/Quantile

    The 3-quantiles are called tertiles or terciles → T; The 4-quantiles are called quartiles → Q; the difference between upper and lower quartiles is also called the interquartile range, midspread or middle fifty → IQR = Q 3 − Q 1. The 5-quantiles are called quintiles or pentiles → QU; The 6-quantiles are called sextiles → S

  4. Interquartile range - Wikipedia

    en.wikipedia.org/wiki/Interquartile_range

    It is defined as the difference between the 75th and 25th percentiles of the data. [2] [3] [4] To calculate the IQR, the data set is divided into quartiles, or four rank-ordered even parts via linear interpolation. [1] These quartiles are denoted by Q 1 (also called the lower quartile), Q 2 (the median), and Q 3 (also called the

  5. Percentile rank - Wikipedia

    en.wikipedia.org/wiki/Percentile_rank

    Percentile ranks are not on an equal-interval scale; that is, the difference between any two scores is not the same as between any other two scores whose difference in percentile ranks is the same. For example, 50 − 25 = 25 is not the same distance as 60 − 35 = 25 because of the bell-curve shape of the distribution. Some percentile ranks ...

  6. Box plot - Wikipedia

    en.wikipedia.org/wiki/Box_plot

    Third quartile (Q 3 or 75th percentile): also known as the upper quartile q n (0.75), it is the median of the upper half of the dataset. [ 7 ] In addition to the minimum and maximum values used to construct a box-plot, another important element that can also be employed to obtain a box-plot is the interquartile range (IQR), as denoted below:

  7. Quantile function - Wikipedia

    en.wikipedia.org/wiki/Quantile_function

    Quantile functions are used in both statistical applications and Monte Carlo methods. The quantile function is one way of prescribing a probability distribution, and it is an alternative to the probability density function (pdf) or probability mass function, the cumulative distribution function (cdf) and the characteristic function.

  8. Google Sheets - Wikipedia

    en.wikipedia.org/wiki/Google_Sheets

    Google Sheets is a spreadsheet application and part of the free, web-based Google Docs Editors suite offered by Google.Google Sheets is available as a web application; a mobile app for: Android, iOS, and as a desktop application on Google's ChromeOS.

  9. Quartile coefficient of dispersion - Wikipedia

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

    In statistics, the quartile coefficient of dispersion (QCD) 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 .