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  2. Probability axioms - Wikipedia

    en.wikipedia.org/wiki/Probability_axioms

    The standard probability axioms are the foundations of probability theory introduced by Russian mathematician Andrey Kolmogorov in 1933. [1] These axioms remain central and have direct contributions to mathematics, the physical sciences, and real-world probability cases. [2] There are several other (equivalent) approaches to formalising ...

  3. Rotational spectroscopy - Wikipedia

    en.wikipedia.org/wiki/Rotational_spectroscopy

    As a detailed example, ammonia has a moment of inertia I C = 4.4128 × 10 −47 kg m 2 about the 3-fold rotation axis, and moments I A = I B = 2.8059 × 10 −47 kg m 2 about any axis perpendicular to the C 3 axis. Since the unique moment of inertia is larger than the other two, the molecule is an oblate symmetric top.

  4. Rule of succession - Wikipedia

    en.wikipedia.org/wiki/Rule_of_succession

    In probability theory, the rule of succession is a formula introduced in the 18th century by Pierre-Simon Laplace in the course of treating the sunrise problem. [1] The formula is still used, particularly to estimate underlying probabilities when there are few observations or events that have not been observed to occur at all in (finite) sample data.

  5. Law of the unconscious statistician - Wikipedia

    en.wikipedia.org/wiki/Law_of_the_unconscious...

    In probability theory and statistics, the law of the unconscious statistician, or LOTUS, is a theorem which expresses the expected value of a function g(X) of a random variable X in terms of g and the probability distribution of X. The form of the law depends on the type of random variable X in question.

  6. List of paradoxes - Wikipedia

    en.wikipedia.org/wiki/List_of_paradoxes

    Coin rotation paradox: a coin rotating along the edge of an identical coin will make a full revolution after traversing only half of the stationary coin's circumference. Gabriel's Horn : or Torricelli's trumpet : A simple object with finite volume but infinite surface area.

  7. Probability interpretations - Wikipedia

    en.wikipedia.org/wiki/Probability_interpretations

    Epistemic or subjective probability is sometimes called credence, as opposed to the term chance for a propensity probability. Some examples of epistemic probability are to assign a probability to the proposition that a proposed law of physics is true or to determine how probable it is that a suspect committed a crime, based on the evidence ...

  8. Probability theory - Wikipedia

    en.wikipedia.org/wiki/Probability_theory

    Classical definition: Initially the probability of an event to occur was defined as the number of cases favorable for the event, over the number of total outcomes possible in an equiprobable sample space: see Classical definition of probability. For example, if the event is "occurrence of an even number when a dice is rolled", the probability ...

  9. Curl (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Curl_(mathematics)

    The curl of the vector field at any point is given by the rotation of an infinitesimal area in the xy-plane (for z-axis component of the curl), zx-plane (for y-axis component of the curl) and yz-plane (for x-axis component of the curl vector). This can be seen in the examples below.