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Q: What is the main purpose of Random Number Table to use as statistical tool in statistics?

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Notice that the word statistics is closely related to the word state. Some statistical methods were initially developed by governments as ways of gaining greater control over their populations although it must be said that at the same general time in history individuals such as Florence Nightingale were using statistical methods to try to influence governments to take better care of their citizens.Nowadays we use statistics whenever we can reasonably assume that random phenomena are at play that we need to take in to account.

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In my humble opinion, what people mean with a statistical variable is the same as a random variable, which is explained well in wikipedia: http://en.wikipedia.org/wiki/Random_variable.

the use of random sampling that results in an unbiased conclusion.

statistical testing

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Shelemyahu Zacks has written: 'The theory of statistical inference' -- subject(s): Mathematical statistics 'Parametric statistical inference' -- subject(s): Mathematical statistics 'Stochastic visibility in random fields' -- subject(s): Random fields, Visibility, Mathematical models

* A number generated for or part of a set exhibiting statistical randomness. * A random sequence obtained from a stochastic process. * An algorithmically random sequence in algorithmic information theory. * The output of a random number generator. * The least random number (17), according to the Hacker's Jargon File.

Random numbers that are generated by a computer are pseudo-random (not really random), but they will pass enough statistical tests for randomness to be useful in simulation random processes. Java has random number generators in the standard libraries. See the related link if you need more information.

Domenico Marinucci has written: 'Random fields on the sphere' -- subject(s): Statistical methods, MATHEMATICS / Probability & Statistics / General, Random fields, Spherical harmonics, Compact groups, Cosmology

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Yakov Ben-Haim has written: 'Robust reliability in the mechanical sciences' -- subject(s): Statistical methods, Reliability (Engineering), Robust statistics 'The assay of spatially random material' -- subject(s): Statistical methods, Materials, Analysis 'The Assay of Spatially Random Material'

For the purpose of analyses, they should be independent, identically distributed random variables. But the ideal is that they are all 0.

The random variable is discrete

The definition to the term "Stochastic Process" is: A statistical process involving a number of random variables depending on a number variable. Which in most cases, is time.

Notice that the word statistics is closely related to the word state. Some statistical methods were initially developed by governments as ways of gaining greater control over their populations although it must be said that at the same general time in history individuals such as Florence Nightingale were using statistical methods to try to influence governments to take better care of their citizens.Nowadays we use statistics whenever we can reasonably assume that random phenomena are at play that we need to take in to account.

Simple Random Sample

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