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  2. Range (statistics) - Wikipedia

    en.wikipedia.org/wiki/Range_(statistics)

    The probability of having a specific range value, t, can be determined by adding the probabilities of having two samples differing by t, and every other sample having a value between the two extremes. The probability of one sample having a value of x is (). The probability of another having a value t greater than x is:

  3. Expected value - Wikipedia

    en.wikipedia.org/wiki/Expected_value

    Then it follows that X + takes value 2k−1 with probability 6((2k−1)π) −2 for each positive integer k, and takes value 0 with remaining probability. Similarly, X − takes value 2k with probability 6(2kπ) −2 for each positive integer k and takes value 0 with remaining probability.

  4. Range of a function - Wikipedia

    en.wikipedia.org/wiki/Range_of_a_function

    is a function from domain X to codomain Y. The yellow oval inside Y is the image of . 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.

  5. Interval arithmetic - Wikipedia

    en.wikipedia.org/wiki/Interval_arithmetic

    The main objective of interval arithmetic is to provide a simple way of calculating upper and lower bounds of a function's range in one or more variables. These endpoints are not necessarily the true supremum or infimum of a range since the precise calculation of those values can be difficult or impossible; the bounds only need to contain the function's range as a subset.

  6. Mean of a function - Wikipedia

    en.wikipedia.org/wiki/Mean_of_a_function

    In calculus, and especially multivariable calculus, the mean of a function is loosely defined as the average value of the function over its domain. In one variable, the mean of a function f(x) over the interval (a,b) is defined by: [1] ¯ = ().

  7. Probability density function - Wikipedia

    en.wikipedia.org/wiki/Probability_density_function

    If a random variable X is given and its distribution admits a probability density function f, then the expected value of X (if the expected value exists) can be calculated as ⁡ [] = ().

  8. Variance - Wikipedia

    en.wikipedia.org/wiki/Variance

    This implies that in a weighted sum of variables, the variable with the largest weight will have a disproportionally large weight in the variance of the total. For example, if X and Y are uncorrelated and the weight of X is two times the weight of Y, then the weight of the variance of X will be four times the weight of the variance of Y.

  9. Range of a projectile - Wikipedia

    en.wikipedia.org/wiki/Range_of_a_projectile

    The path of this projectile launched from a height y 0 has a range d. In physics, a projectile launched with specific initial conditions will have a range. It may be more predictable assuming a flat Earth with a uniform gravity field, and no air resistance. The horizontal ranges of a projectile are equal for two complementary angles of ...