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Figure 2. Box-plot with whiskers from minimum to maximum Figure 3. Same box-plot with whiskers drawn within the 1.5 IQR value. A boxplot is a standardized way of displaying the dataset based on the five-number summary: the minimum, the maximum, the sample median, and the first and third quartiles.
In statistical graphics, the functional boxplot is an informative exploratory tool that has been proposed for visualizing functional data. [1] [2] Analogous to the classical boxplot, the descriptive statistics of a functional boxplot are: the envelope of the 50% central region, the median curve and the maximum non-outlying envelope.
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.
It is incorrect to say that individual values plotted above the upper adjacent value or below the lower adjacent value (i.e., beyond the whiskers) are necessarily outliers. They are defined by Tukey as "outside values" which may or may not be outliers.
Splitting the observations either side of the median gives two groups of four observations. The median of the first group is the lower or first quartile, and is equal to (0 + 1)/2 = 0.5. The median of the second group is the upper or third quartile, and is equal to (27 + 61)/2 = 44. The smallest and largest observations are 0 and 63.
The Las Vegas Metropolitan Police Department and FBI are investigating the explosion of a Tesla Cybertruck in front of the Trump hotel in Vegas, that left 1 dead.
The refrain of parents is “I love all my children equally.” But not all kids get treated equally. Experts explain the impact of preferential treatment in a family.
One of the biggest decisions anyone has to make for retirement is where to invest money. If you ask 10 different financial advisors, there is a 100% chance you’ll get 10 different answers. This ...