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  2. Isaac Newton - Wikipedia

    en.wikipedia.org/wiki/Isaac_Newton

    Early life Main article: Early life of Isaac Newton Isaac Newton was born (according to the Julian calendar in use in England at the time) on Christmas Day, 25 December 1642 (NS 4 January 1643 [a]) at Woolsthorpe Manor in Woolsthorpe-by-Colsterworth, a hamlet in the county of Lincolnshire. His father, also named Isaac Newton, had died three months before. Born prematurely, Newton was a small ...

  3. Turing completeness - Wikipedia

    en.wikipedia.org/wiki/Turing_completeness

    Turing completeness. In computability theory, a system of data-manipulation rules (such as a model of computation, a computer's instruction set, a programming language, or a cellular automaton) is said to be Turing-complete or computationally universal if it can be used to simulate any Turing machine [citation needed] (devised by English ...

  4. Grubbs's test - Wikipedia

    en.wikipedia.org/wiki/Grubbs's_test

    The Grubbs test statistic is defined as. with and denoting the sample mean and standard deviation, respectively. The Grubbs test statistic is the largest absolute deviation from the sample mean in units of the sample standard deviation. This is the two-sided test, for which the hypothesis of no outliers is rejected at significance level α if.

  5. Fisher's exact test - Wikipedia

    en.wikipedia.org/wiki/Fisher's_exact_test

    For example, in the R statistical computing environment, this value can be obtained as fisher.test(rbind(c(1,9),c(11,3)), alternative="less")$p.value, or in Python, using scipy.stats.fisher_exact(table=[[1,9],[11,3]], alternative="less") (where one receives both the prior odds ratio and the p -value).

  6. List of probability distributions - Wikipedia

    en.wikipedia.org/wiki/List_of_probability...

    The Bernoulli distribution, which takes value 1 with probability p and value 0 with probability q = 1 − p. The Rademacher distribution, which takes value 1 with probability 1/2 and value −1 with probability 1/2. The binomial distribution, which describes the number of successes in a series of independent Yes/No experiments all with the same ...

  7. Barnard's test - Wikipedia

    en.wikipedia.org/wiki/Barnard's_test

    In statistics, Barnard’s test is an exact test used in the analysis of 2 × 2 contingency tables with one margin fixed. Barnard’s tests are really a class of hypothesis tests, also known as unconditional exact tests for two independent binomials. [1] [2] [3] These tests examine the association of two categorical variables and are often a ...

  8. What If? (book) - Wikipedia

    en.wikipedia.org/wiki/What_If?_(book)

    What If?: Serious Scientific Answers to Absurd Hypothetical Questions is a 2014 non-fiction book by Randall Munroe in which the author answers hypothetical science questions sent to him by readers of his webcomic, xkcd. The book contains a selection of questions and answers originally published on his blog What If?, along with several new ones.

  9. Glossary of mathematical symbols - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_mathematical...

    A ⊂ B {\displaystyle A\subset B} may mean that A is a proper subset of B, that is the two sets are different, and every element of A belongs to B; in formula, A ≠ B ∧ ∀ x , x ∈ A ⇒ x ∈ B {\displaystyle A eq B\land \forall {}x,\,x\in A\Rightarrow x\in B} . ⊆. A ⊆ B {\displaystyle A\subseteq B}

  10. Birthday problem - Wikipedia

    en.wikipedia.org/wiki/Birthday_problem

    In probability theory, the birthday problem asks for the probability that, in a set of n randomly chosen people, at least two will share a birthday. The birthday paradox refers to the counterintuitive fact that only 23 people are needed for that probability to exceed 50%. The birthday paradox is a veridical paradox: it seems wrong at first ...

  11. Dixon's Q test - Wikipedia

    en.wikipedia.org/wiki/Dixon's_Q_test

    test. In statistics, Dixon's Q test, or simply the Q test, is used for identification and rejection of outliers. This assumes normal distribution and per Robert Dean and Wilfrid Dixon, and others, this test should be used sparingly and never more than once in a data set. To apply a Q test for bad data, arrange the data in order of increasing ...