randomˈræn dəm
random (n)
random (adv)
random
random
random
English Definitions:
random (adj)
lacking any definite plan or order or purpose; governed by or depending on chance
"a random choice"; "bombs fell at random"; "random movements"
random (Noun)
Speed, full speed; impetuosity, force.
random (Noun)
The full range of a bullet or other projectile; hence, the angle at which a weapon is tilted to allow the greatest range.
random (Noun)
An undefined, unknown or unimportant person; a person of no consequence.
random (Adjective)
Having unpredictable outcomes and, in the ideal case, all outcomes equally probable; resulting from such selection; lacking statistical correlation.
random (Adjective)
Of or relating to probability distribution.
random (Adjective)
Pseudorandom in contrast to truly random; mimicking the result of random selection.
random (Adjective)
Representative and undistinguished; typical and average; selected for no particular reason.
random (Adjective)
Apropos of nothing; lacking context; unexpected; having apparent lack of plan, cause or reason.
random (Adjective)
Characterized by or often saying random things; habitually using non sequiturs.
Random
Random is a fictional character and antihero created by writer Peter David for the Marvel Comics series X-Factor. He started out as a thorn in the side of X-Factor, but he later became a reluctant ally of theirs. The mystery of his life has yet to be completely revealed.
random
In common usage, randomness is the apparent or actual lack of pattern or predictability in events. A random sequence of events, symbols or steps often has no order and does not follow an intelligible pattern or combination. Individual random events are, by definition, unpredictable, but if the probability distribution is known, the frequency of different outcomes over repeated events (or "trials") is predictable. For example, when throwing two dice, the outcome of any particular roll is unpredictable, but a sum of 7 will tend to occur twice as often as 4. In this view, randomness is not haphazardness; it is a measure of uncertainty of an outcome. Randomness applies to concepts of chance, probability, and information entropy. The fields of mathematics, probability, and statistics use formal definitions of randomness. In statistics, a random variable is an assignment of a numerical value to each possible outcome of an event space. This association facilitates the identification and the calculation of probabilities of the events. Random variables can appear in random sequences. A random process is a sequence of random variables whose outcomes do not follow a deterministic pattern, but follow an evolution described by probability distributions. These and other constructs are extremely useful in probability theory and the various applications of randomness. Randomness is most often used in statistics to signify well-defined statistical properties. Monte Carlo methods, which rely on random input (such as from random number generators or pseudorandom number generators), are important techniques in science, particularly in the field of computational science. By analogy, quasi-Monte Carlo methods use quasi-random number generators. Random selection, when narrowly associated with a simple random sample, is a method of selecting items (often called units) from a population where the probability of choosing a specific item is the proportion of those items in the population. For example, with a bowl containing just 10 red marbles and 90 blue marbles, a random selection mechanism would choose a red marble with probability 1/10. A random selection mechanism that selected 10 marbles from this bowl would not necessarily result in 1 red and 9 blue. In situations where a population consists of items that are distinguishable, a random selection mechanism requires equal probabilities for any item to be chosen. That is, if the selection process is such that each member of a population, say research subjects, has the same probability of being chosen, then we can say the selection process is random.According to Ramsey theory, pure randomness is impossible, especially for large structures. Mathematician Theodore Motzkin suggested that "while disorder is more probable in general, complete disorder is impossible". Misunderstanding this can lead to numerous conspiracy theories. Cristian S. Calude stated that "given the impossibility of true randomness, the effort is directed towards studying degrees of randomness". It can be proven that there is infinite hierarchy (in terms of quality or strength) of forms of randomness.
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"random." Kamus.net. STANDS4 LLC, 2024. Web. 28 Mar. 2024. <https://www.kamus.net/english/random>.
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