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In descriptive statistics, the range of a set of data is size of the narrowest interval which contains all the data. It is calculated as the difference between the largest and smallest values (also known as the sample maximum and minimum). [1] It is expressed in the same units as the data. The range provides an indication of statistical ...
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.
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
Another meaning of range in computer science is an alternative to iterator. When used in this sense, range is defined as "a pair of begin/end iterators packed together". [1] It is argued [1] that "Ranges are a superior abstraction" (compared to iterators) for several reasons, including better safety.
The definition of local minimum point can also proceed similarly. In both the global and local cases, the concept of a strict extremum can be defined. For example, x ∗ is a strict global maximum point if for all x in X with x ≠ x ∗ , we have f ( x ∗ ) > f ( x ) , and x ∗ is a strict local maximum point if there exists some ε > 0 such ...
the range is a measurable space (e.g. corresponding to the domain above, the range might be the set {,} if say heads mapped to -1 and mapped to 1). Typically, the range of a random variable is a subset of the real numbers.
The aim of this new rule is to restrict gender and sex to two biological sexes and to assign strict definitions of who is male and who is female. Many of us learned a similar, simple definition in ...
This probability is given by the integral of this variable's PDF over that range—that is, it is given by the area under the density function but above the horizontal axis and between the lowest and greatest values of the range. The probability density function is nonnegative everywhere, and the area under the entire curve is equal to 1.