A graphical summary of a numerical data sample through five statistics: median, lower quartile, upper quartile, and some indication of more extreme upper and lower values
A graphical summary of a numerical data sample through five statistics — median, upper quartile, lower quartile, and upper extreme and lower extreme values — by depiction as a box with its edges at the quartile marks and an internal line at the median and with lines protruding from the box as far as the extremal values
In descriptive statistics, a boxplot (also known as a box-and-whisker diagram or box and whisker plot or plot or candlestick chart) is a convenient way of graphically depicting groups of numerical data through their five-number summaries (the smallest observation, lower quartile (Q1), median, upper quartile (Q3), and largest observation). A boxplot also indicates which observations, if any, might be considered outliers. The boxplot was invented in 1977 by the American statistician John Tukey
In descriptive statistics, a boxplot (also known as a box-and-whisker diagram or box and whisker plot or plot or candlestick chart) is a convenient way of graphically depicting groups of numerical data through their five-number summaries (the smallest observation, lower quartile (Q1), median, upper quartile (Q3), and largest observation). A boxplot also indicates which observations, if any, might be considered outliers. The boxplot was invented in 1977 by the American statistician John Tukey
a visual display which is based on the 5-number summary draw a box between the quartiles This box demonstrates where the middle 50% of the data fall draw horizontal lines (or whiskers) that extend from the left and right sides of the box to the minimum and maximum, respectfully mark the median with a vertical line inside the box
A graphical representation of a quality test that shows process variability distribution based on the mean, upper and lower specification limits in the form of a box