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# \$1.00DQ1 pseudorandom numbers and DQ2 simulations?

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Do you Agree or disagree and why with the statement below

Why do we use pseudorandom
numbers in simulations?

It is used to help develop
the simuatlion model that generates random numbers by a mathematical
process as opposed to the physical process.  Pseudorandom is easier to
produce than true random numbers, and has the benefit that it can be used again
and again to produce exactly the same numbers.

How do pseudorandom numbers
affect the accuracy of a simulation?

If random numbers are not
truly random, the validity of simuatlion results can be greatly affected.
If the random numbers are uniformly distributed and each random number doesn't
have an equal chance to being selected, then the simulation results will be
biased by the random numbers that have a more likely chance of being
selected. Pseudorandom numbers are efficient, meaning they can
produce many numbers in a short time, and deterministic, meaning that a given
sequence of numbers can be reproduced at a later date if the starting point in
the sequence is known.
Determinism is handy if you need to replay the
same sequence of numbers again at a later stage. Pseudorandom numbers aren't suitable for
applications where it is important that the numbers are really unpredictable,
such as data encryption,gambling, drawings, and lotttery tickets. Simulation is
inefficient  because it takes considerably longer time to produce numbers.

http://www.random.org/randomness/

Introduction to Management Science, 10thedition, Bernard W.
Taylor, 2011

pseudorandom numbers in
simulations?

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