Randomization Task
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A Randomization Task is a general task that requires the randomizing of an Input Set.
- AKA: Randomization, Randomize.
- Context:
- It can be solved by a Randomization System (that implements a randomization algorithm).
- Example(s):
- See: Sorting Task, Random Number, Permutation, Sequence.
References
2013
- http://en.wikipedia.org/wiki/Restricted_randomization
- In statistics, restricted randomization occurs in the design of experiments and in particular in the context of randomized experiments and randomized controlled trials. Restricted randomization allows intuitively poor allocations of treatments to experimental units to be avoided, while retaining the theoretical benefits of randomization.[1][2] For example, in a clinical trial of a new proposed treatment of obesity compared to a control, an experimenter would want to avoid outcomes of the randomization in which the new treatment was allocated only to the heaviest patients.
- http://en.wikipedia.org/wiki/Random_assignment
- Random assignment or random placement is an experimental technique for assigning subjects to different treatments (or no treatment). The thinking behind random assignment is that by randomizing treatment assignment, then the group attributes for the different treatments will be roughly equivalent and therefore any effect observed between treatment groups can be linked to the treatment effect and is not a characteristic of the individuals in the group.
In experimental design, random assignment of participants in experiments or treatment and control groups help to ensure that any differences between and within the groups are not systematic at the outset of the experiment. Random assignment does not guarantee that the groups are "matched" or equivalent, only that any differences are due to chance.
Random assignment facilitates comparison in experiments by creating similar groups. Example compares "Apple to Apple" and "Orange to Orange".
- Random assignment or random placement is an experimental technique for assigning subjects to different treatments (or no treatment). The thinking behind random assignment is that by randomizing treatment assignment, then the group attributes for the different treatments will be roughly equivalent and therefore any effect observed between treatment groups can be linked to the treatment effect and is not a characteristic of the individuals in the group.
- ↑ Dodge, Y. (2006). The Oxford Dictionary of Statistical Terms. OUP. ISBN 0-19-920613-9.
- ↑ Grundy, P.M.; Healy, M.J.R.. "Restricted randomization and quasi-Latin squares". Journal of the Royal Statistical Society, Series B 12: 286–291.