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Sometimes "range" refers to the image and sometimes to the codomain. In mathematics, the range of a function may refer to either of two closely related concepts: the codomain of the function, or; the image of the function. In some cases the codomain and the image of a function are the same set; such a function is called surjective or onto.
The set of specific outputs the function assigns to elements of X is called its range or image. The image of f is a subset of Y , shown as the yellow oval in the accompanying diagram. Any function can be restricted to a subset of its domain.
Range (computer programming), the set of allowed values for a variable; Range, any kitchen stove with multiple burners, especially in the United States; All-electric range, the driving range of a vehicle using only power from its electric battery pack; Range of a projectile, the potential distance a projectile can be hurled by a firearm or cannon
Range of motion (or ROM) is the linear or angular distance that a moving object may normally travel while properly attached to another. In biomechanics and strength training , ROM refers to the angular distance and direction a joint can move between the flexed position and the extended position. [ 1 ]
The standard definition of a reference range for a particular measurement is defined as the interval between which 95% of values of a reference population fall into, in such a way that 2.5% of the time a value will be less than the lower limit of this interval, and 2.5% of the time it will be larger than the upper limit of this interval, whatever the distribution of these values.
If the sights are lower than the allowable deviation, then point blank range starts at the muzzle, and any difference between the sight height and the allowable deviation is lost distance that could have been in point blank range. Higher sights, up to the maximum allowable deviation, push the maximum point blank range farther from the gun.
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In statistics, a truncated distribution is a conditional distribution that results from restricting the domain of some other probability distribution.Truncated distributions arise in practical statistics in cases where the ability to record, or even to know about, occurrences is limited to values which lie above or below a given threshold or within a specified range.
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