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  2. Probability axioms - Wikipedia

    en.wikipedia.org/wiki/Probability_axioms

    2.2.1 Proof of the probability of the empty set. ... that the probability that at least one of the elementary events in the entire sample space will occur is 1. ...

  3. Elementary proof - Wikipedia

    en.wikipedia.org/wiki/Elementary_proof

    No elementary proof of the prime number theorem is known, and one may ask whether it is reasonable to expect one. Now we know that the theorem is roughly equivalent to a theorem about an analytic function , the theorem that Riemann's zeta function has no roots on a certain line .

  4. Outline of probability - Wikipedia

    en.wikipedia.org/wiki/Outline_of_probability

    2.2 Elementary probability. 2.3 Meaning of probability. 2.4 Calculating with probabilities. 2.5 Independence. 3 Probability theory. ... A proof of the central limit ...

  5. Mathematical proof - Wikipedia

    en.wikipedia.org/wiki/Mathematical_proof

    An elementary proof is a proof which only uses basic techniques. More specifically, the term is used in number theory to refer to proofs that make no use of complex analysis . For some time it was thought that certain theorems, like the prime number theorem , could only be proved using "higher" mathematics.

  6. Probability theory - Wikipedia

    en.wikipedia.org/wiki/Probability_theory

    Probability theory or probability calculus is the branch of mathematics concerned with probability. Although there are several different probability interpretations , probability theory treats the concept in a rigorous mathematical manner by expressing it through a set of axioms .

  7. 0.999... - Wikipedia

    en.wikipedia.org/wiki/0.999...

    The proof given below is a direct formalization of the intuitive fact that, if one draws 0.9, 0.99, 0.999, etc. on the number line, there is no room left for placing a number between them and 1. The meaning of the notation 0.999... is the least point on the number line lying to the right of all of the numbers 0.9, 0.99, 0.999, etc.

  8. Law of large numbers - Wikipedia

    en.wikipedia.org/wiki/Law_of_large_numbers

    What this means is that the probability that, as the number of trials n goes to infinity, the average of the observations converges to the expected value, is equal to one. The modern proof of the strong law is more complex than that of the weak law, and relies on passing to an appropriate subsequence. [17]

  9. Probability - Wikipedia

    en.wikipedia.org/wiki/Probability

    Probability is the branch of mathematics and statistics concerning events and numerical descriptions of how likely they are to occur. The probability of an event is a number between 0 and 1; the larger the probability, the more likely an event is to occur. [note 1] [1] [2] This number is often expressed as a percentage (%), ranging from 0% to ...

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