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To find a trimmed mean, the x % largest and smallest observations are deleted, and the mean is computed using the remaining observations.
The largest and smallest observations in the dataset that were not outliers or extreme values were shown as whiskers.
Similar(58)
From a bank of pre-defined Luenberger observers, the observer that yields the smallest observation error determines the present operating mode that is used by a supervisory algorithm to select the corresponding controller.
Data are expressed as box-and-whisker diagrams depicting the smallest observation, lower quartile, median, upper quartile, and largest observation.
Taking the ratio between the largest and the smallest observation for each sector, i.e. Max / Min, we find the following.
Data are expressed as box-and-whisker diagrams (depicting the smallest observation, lower quartile, median, upper quartile and largest observation), medians with interquartile ranges or as survival curves.
Data are expressed as box-and-whisker diagrams depicting the smallest observation, lower quartile, median, upper quartile and largest observation unless indicated otherwise.
Data are expressed as box-and-whisker diagrams depicting the smallest observation, lower quartile, median, upper quartile and largest observation or as survival curves.
All data are expressed as box and whisker plots showing the smallest observation, lower quartile, median, upper quartile and largest observation.
The simplest of these is probably the range, which is the difference between the largest and smallest observation in the dataset.
Data are expressed as box-and-whisker diagrams depicting the smallest observation, lower quartile, median, upper quartile and largest observation, as medians with interquartile ranges or as Kaplan Meier plots.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com