Randomization

Randomization is the process of making something random; this means:

  • Generating a random permutation of a sequence (such as when shuffling cards).
  • Selecting a random sample of a population (important in statistical sampling).
  • Allocating experimental units via random assignment to a treatment or control condition.
  • Generating random numbers: see Random number generation.
  • Transforming a data stream (such as when using a scrambler in telecommunications).

Randomization is not haphazard. Instead, a random process is a sequence of random variables describing a process whose outcomes do not follow a deterministic pattern, but follow an evolution described by probability distributions. For example, a random sample of individuals from a population refers to a sample where every individual has a known probability of being sampled. This would be contrasted with nonprobability sampling where arbitrary individuals are selected.

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Other articles related to "randomization":

Stack Buffer Overflow - Protection Schemes - Randomization
... separating the code from the data another mitigation technique is to introduce randomization to the memory space of the executing program ... The entropy of the randomization is different from implementation to implementation and a low enough entropy can in itself be a problem in terms of brute forcing the memory space that is randomized ...
The Mendelian Randomization Approach
... Mendelian randomization is a method that allows one to test for, or in certain cases to estimate, a causal effect from observational data in the presence of confounding factors ... In this regard, Mendelian randomization can be thought of as a “natural” RCT ... Mendelian randomization relies on getting good estimates from genetic association studies ...
Randomization - Techniques
... Although historically "manual" randomization techniques (such as shuffling cards, drawing pieces of paper from a bag, spinning a roulette wheel) were common, nowadays automated techniques are mostly used ... Non-algorithmic randomization methods include Casting yarrow stalks (for the I Ching) Throwing dice Drawing straws Shuffling cards Roulette wheels Drawing pieces of paper or balls from a bag "Lottery machines ...
Randomised - Applications - Gambling
... Randomization is used extensively in the field of gambling (or generally being random) ... Because poor randomization may allow a skilled gambler to take advantage, much research has been devoted to effective randomization ...
Completely Randomized Design - Randomization
... By randomization, that is to say the run sequence of the experimental units is determined randomly ... In practice, the randomization is typically performed by a computer program ... However, the randomization can also be generated from random number tables or by some physical mechanism (e.g ...