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darkar
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Here's the question, what should u do to check whether the randomness of number given uot by computer is indeed random?
HallsofIvy said:There is no way to say if A number given by a random number generator is "random". There exist ways to determine the "randomness" of a sequence of random numbers.
darkar said:So, what is the ways to determine the randomness of a sequence of random numbers?
Randomness in computers and calculators refers to the ability of these devices to generate unpredictable and unbiased results. It is an essential feature for tasks such as generating random numbers or shuffling data, and it relies on complex algorithms and external sources of randomness, such as user input or atmospheric noise.
Randomness is achieved through a process called "pseudo-random number generation." This involves using mathematical algorithms and data inputs, such as the device's internal clock or user input, to produce a sequence of numbers that appear random. These algorithms are designed to be unpredictable and unbiased, but they are not truly random as they are based on a defined set of rules.
Randomness is important in computers and calculators because it allows for a wide range of applications, such as generating secure encryption keys, simulating complex systems, and conducting statistical analyses. It also helps to prevent bias and ensure fairness in tasks such as randomized surveys or games.
While the randomness generated by computers and calculators cannot be controlled directly, it can be controlled indirectly through the algorithms and inputs used. For example, by adjusting the algorithm or changing the seed value, the resulting sequence of random numbers can be altered. However, true random events, such as atmospheric noise, cannot be controlled.
One limitation of randomness in computers and calculators is that it is based on predetermined algorithms and inputs, making it pseudo-random rather than truly random. Additionally, external factors, such as hardware malfunctions or faulty algorithms, can also affect the randomness of results. It is also important to note that randomness does not guarantee equal distribution or unbiased outcomes, as it is based on probability rather than certainty.