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Skewed distribution is derived from probability theory. It refers to a range of values for a variable, which is described as 'skewed' if the variation isn't even between measures. A negative skew means that the 'probability density' (statistical likelihood) is longer (higher valued) on the left side of a series of measures expressed as a graph relative to a mean figure. A positive skew refers to measures on the right of the mean. |

Examples of Skewed Distribution:

https://pirate.shu.edu/~wachsmut/Teaching/MATH1101/Descriptives/box.html https://www.uvm.edu/~dhowell/StatPages/More_Stuff/Mireault.html https://oak.cats.ohiou.edu/~yostc/QBA201/lect22/sld041.htm |

Image Example of Skewed Distribution:

Skewed distribution of the gravitropic response in wheat coleoptiles. |