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INTERQUARTILE

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Voorbeelden van het gebruik van INTERQUARTILE in een zin

  • In descriptive statistics, the interquartile range (IQR) is a measure of statistical dispersion, which is the spread of the data.
  • The interquartile mean (IQM) (or midmean) is a statistical measure of central tendency based on the truncated mean of the interquartile range.
  • These quartiles are used to calculate the interquartile range, which helps to describe the spread of the data, and determine whether or not any data points are outliers.
  • A similar important statistic in exploratory data analysis that is simply related to the order statistics is the sample interquartile range.
  • A more detailed list of examples includes: with a single point, the maximum, the minimum, or any single order statistic or quantile; with one or two points, the median; with two points, the mid-range, the range, the midsummary (trimmed mid-range, including the midhinge), and the trimmed range (including the interquartile range and interdecile range); with three points, the trimean; with a fixed fraction of the points, the trimmed mean (including interquartile mean) and the Winsorized mean; with all points, the mean.
  • The interdecile range is a measure of statistical dispersion of the values in a set of data, similar to the range and the interquartile range, and can be computed from the (non-parametric) seven-number summary.
  • One of the most common robust measures of scale is the interquartile range (IQR), the difference between the 75th percentile and the 25th percentile of a sample; this is the 25% trimmed range, an example of an L-estimator.
  • Besides their own answers they will see the ongoing – hence, real-time – responses of other participants, and with regard to metric assessments the group as a whole will be visualised in terms of median, average, and interquartile range (IQR).


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