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  2. Random assignment - Wikipedia

    en.wikipedia.org/wiki/Random_assignment

    Random assignment. Random assignment or random placement is an experimental technique for assigning human participants or animal subjects to different groups in an experiment (e.g., a treatment group versus a control group) using randomization, such as by a chance procedure (e.g., flipping a coin) or a random number generator. [ 1]

  3. Template:Random number - Wikipedia

    en.wikipedia.org/wiki/Template:Random_number

    Template:Random number. This template is used on approximately 5,100 pages and changes may be widely noticed. Test changes in the template's /sandbox or /testcases subpages, or in your own user subpage. Consider discussing changes on the talk page before implementing them. This template generates a pseudo-random integer between 0 and |count| -1.

  4. List of random number generators - Wikipedia

    en.wikipedia.org/wiki/List_of_random_number...

    Generator Date First proponents References Notes Middle-square method: 1946 J. von Neumann [1] In its original form, it is of poor quality and of historical interest only. Lehmer generator: 1951 D. H. Lehmer [2] One of the very earliest and most influential designs. Linear congruential generator (LCG) 1958 W. E. Thomson; A. Rotenberg [3] [4]

  5. Applications of randomness - Wikipedia

    en.wikipedia.org/wiki/Applications_of_randomness

    Applications of randomness. Randomness has many uses in science, art, statistics, cryptography, gaming, gambling, and other fields. For example, random assignment in randomized controlled trials helps scientists to test hypotheses, and random numbers or pseudorandom numbers help video games such as video poker .

  6. Completely randomized design - Wikipedia

    en.wikipedia.org/wiki/Completely_randomized_design

    All completely randomized designs with one primary factor are defined by 3 numbers: k = number of factors (= 1 for these designs) L = number of levels; n = number of replications; and the total sample size (number of runs) is N = k × L × n. Balance dictates that the number of replications be the same at each level of the factor (this will ...

  7. Hardware random number generator - Wikipedia

    en.wikipedia.org/wiki/Hardware_random_number...

    A USB-pluggable hardware true random number generator. In computing, a hardware random number generator (HRNG), true random number generator (TRNG), non-deterministic random bit generator (NRBG), [1] or physical random number generator [2] [3] is a device that generates random numbers from a physical process capable of producing entropy (in other words, the device always has access to a ...

  8. Random number generation - Wikipedia

    en.wikipedia.org/wiki/Random_number_generation

    Dice are an example of a mechanical hardware random number generator. When a cubical die is rolled, a random number from 1 to 6 is obtained. Random number generation is a process by which, often by means of a random number generator (RNG), a sequence of numbers or symbols that cannot be reasonably predicted better than by random chance is generated.

  9. Pseudorandom number generator - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_number_generator

    A pseudorandom number generator ( PRNG ), also known as a deterministic random bit generator ( DRBG ), [ 1] is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers. The PRNG-generated sequence is not truly random, because it is completely determined by an initial value ...