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In mathematics, the floor function is the function that takes as input a real number x, and gives as output the greatest integer less than or equal to x, denoted ⌊x⌋ or floor(x). Similarly, the ceiling function maps x to the least integer greater than or equal to x, denoted ⌈x⌉ or ceil(x). [1]
However, Square brackets, as in = 3, are sometimes used to denote the floor function, which rounds a real number down to the next integer. Conversely, some authors use outwards pointing square brackets to denote the ceiling function, as in ]π[ = 4. Braces, as in {π} < 1 / 7, may denote the fractional part of a real number.
Scott's rule is widely employed in data analysis software including R, [2] Python [3] and Microsoft Excel where it is the default bin selection method. [ 4 ] For a set of n {\displaystyle n} observations x i {\displaystyle x_{i}} let f ^ ( x ) {\displaystyle {\hat {f}}(x)} be the histogram approximation of some function f ( x ) {\displaystyle f ...
Displays the parameter wrapped in ceiling symbols. This template is for display, not calculation. Template parameters [Edit template data] This template prefers inline formatting of parameters. Parameter Description Type Status Operand 1 The operand of the ceiling function Example π Line required Examples {{ceil|45.23}} → ⌈45.23⌉ {{ceil|''x''}} → ⌈ x ⌉ {{ceil|{{sfrac|2''a''|''b ...
For example, 1.4 rounded is 1, the floor of 1.4 is 1, the ceiling of 1.4 is 2. 1.6 rounded is 2, the floor of 1.6 is 1, the ceiling of 1.6 is 2. So the floor of a fraction is always down; the ceiling of a fraction is always up; rounding can be up or down depending upon
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The data used to construct a histogram are generated via a function m i that counts the number of observations that fall into each of the disjoint categories (known as bins). Thus, if we let n be the total number of observations and k be the total number of bins, the histogram data m i meet the following conditions:
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