Q&A: How do you feel about this?

by wallyg

Question by Chuck Norris: How do you feel about this?
Having no definite aim or purpose; not sent or guided in a particular direction; made, done, occurring, etc., without method or conscious choice; haphazard.

Also, in statistics, as:

Governed by or involving equal chances for each of the actual or hypothetical members of a population; (also) produced or obtained by such a process, and therefore unpredictable in detail.

Closely connected, therefore, with the concepts of chance, probability, and information entropy, randomness implies a lack of predictability. More formally, in statistics, a random process is a repeating process whose outcomes follow no describable deterministic pattern, but follow a probability distribution, such that the relative probability of the occurrence of each outcome can be approximated or calculated. For example, the rolling of a fair six-sided die in neutral conditions may be said to produce random results, because one cannot compute, before a roll, what number will show up. However, the probability of rolling any one of the six rollable numbers can be calculated, assuming that each is equally likely.

The term is often used in statistics to signify well-defined statistical properties, such as a lack of bias or correlation. Monte Carlo Methods, which rely on random input, are important techniques in science, as, for instance, in computational science.[1] Random selection is an official method to resolve tied elections in some jurisdictions[2] and is even an ancient method of divination, as in tarot, the I Ching, and bibliomancy. Its use in politics is very old, as office holders in Ancient Athens were chosen by lot, there being no voting.

Contents [hide]
1 History
2 Randomness in science
2.1 In the physical sciences
2.2 In biology
2.3 In mathematics
2.4 In information science
2.5 In finance
2.6 Randomness versus unpredictability
3 Randomness and religion
4 Applications and use of randomness
4.1 Generating randomness
4.2 Randomness measures and tests
4.3 Links related to generating randomness
5 Misconceptions/logical fallacies
5.1 A number is “due”
5.2 A number is “cursed” or “blessed”
6 Books
7 See also
8 References
9 External links

[edit] History
Main article: History of randomness

Ancient fresco of dice players in Pompei.In ancient history, the concepts of chance and randomness were intertwined with that of fate. Many ancient peoples threw dice to determine fate, and this later evolved into games of chance. Most ancient cultures used various methods of divination to attempt to circumvent randomness and fate.[3][4]

The Chinese were perhaps the earliest people to formalize odds and chance 3,000 years ago. The Greek philosophers discussed randomness at length, but only in non-quantitative forms. It was only in the sixteenth century that Italian mathematicians began to formalize the odds associated with various games of chance. The invention of the calculus had a positive impact on the formal study of randomness. In the 1888 edition of his book The Logic of Chance John Venn wrote a chapter on “The conception of randomness” which included his view of the randomness of the digits of the number Pi by using them to construct a random walk in two dimensions.[5]

The early part of the twentieth century saw a rapid growth in the formal analysis of randomness, as various approaches for a mathematical foundations of probability were introduced. In the mid to late twentieth century ideas of algorithmic information theory introduced new dimensions to the field via the concept of algorithmic randomness.

Although randomness had often been viewed as an obstacle and a nuisance for many centuries, in the twentieth century computer scientists began to realize that the deliberate introduction of randomness into computations can be an effective tool for designing better algorithms. In some cases such randomized algorithms outperform the best deterministic methods.

[edit] Randomness in science
Many scientific fields are concerned with randomness:

Algorithmic probability
Chaos theory
Cryptography
Game theory
Information theory
Pattern recognition
Probability theory
Quantum mechanics
Statistics
Statistical mechanics
[edit] In the physical sciences
In the 19th century, scientists used the idea of random motions of molecules in the development of statistical mechanics in order to explain phenomena in thermodynamics and the properties of gases.

According to several standard interpretations of quantum mechanics, microscopic phenomena are objectively random[citation needed]. That is, in an experiment where all causally relevant parameters are controlled, there will still be some aspects of the outcome which vary randomly. An example of such an experiment is placing a single unstable atom in a controlled environment; it cannot be predicted how long it will take for the atom to decay; only the probability of decay within a given time can be calculat

Best answer:

Answer by thrills away
I feel dizzy and needs a drink.

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