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  2. Conditional probability - Wikipedia

    en.wikipedia.org/wiki/Conditional_probability

    However, the conditional probability P(A|B 1) = 1, P(A|B 2) = 0.12 ÷ (0.12 + 0.04) = 0.75, and P(A|B 3) = 0. On a tree diagram, branch probabilities are conditional on the event associated with the parent node. (Here, the overbars indicate that the event does not occur.) Venn Pie Chart describing conditional probabilities

  3. Boole's inequality - Wikipedia

    en.wikipedia.org/wiki/Boole's_inequality

    P( at least one estimation is bad) = 0.05 ≤ P( A 1 is bad) + P( A 2 is bad) + P( A 3 is bad) + P( A 4 is bad) + P( A 5 is bad) One way is to make each of them equal to 0.05/5 = 0.01, that is 1%. In other words, you have to guarantee each estimate good to 99%( for example, by constructing a 99% confidence interval) to make sure the total ...

  4. Faulhaber's formula - Wikipedia

    en.wikipedia.org/wiki/Faulhaber's_formula

    Faulhaber's formula concerns expressing the sum of the p-th powers of the first n positive integers = = + + + + as a (p + 1)th-degree polynomial function of n.. The first few examples are well known.

  5. Proof of Bertrand's postulate - Wikipedia

    en.wikipedia.org/wiki/Proof_of_Bertrand's_postulate

    Assume that there is a counterexample: an integer n ≥ 2 such that there is no prime p with n < p < 2n. If 2 ≤ n < 427, then p can be chosen from among the prime numbers 3, 5, 7, 13, 23, 43, 83, 163, 317, 631 (each being the largest prime less than twice its predecessor) such that n < p < 2n. Therefore, n ≥ 427.

  6. abc conjecture - Wikipedia

    en.wikipedia.org/wiki/Abc_conjecture

    A polynomial P(x) has only finitely many perfect powers for all integers x if P has at least three simple zeros. [18] A generalization of Tijdeman's theorem concerning the number of solutions of y m = x n + k (Tijdeman's theorem answers the case k = 1), and Pillai's conjecture (1931) concerning the number of solutions of Ay m = Bx n + k.

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  8. Bayes' theorem - Wikipedia

    en.wikipedia.org/wiki/Bayes'_theorem

    P (A), the prior, is the initial degree of belief in A. P (A | B), the posterior, is the degree of belief after incorporating news that B is true. the quotient ⁠ P(B | A) / P(B) ⁠ represents the support B provides for A. For more on the application of Bayes' theorem under the Bayesian interpretation of probability, see Bayesian inference.

  9. Binomial coefficient - Wikipedia

    en.wikipedia.org/wiki/Binomial_coefficient

    For each k, the polynomial () can be characterized as the unique degree k polynomial p(t) satisfying p(0) = p(1) = ⋯ = p(k − 1) = 0 and p(k) = 1. Its coefficients are expressible in terms of Stirling numbers of the first kind: