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  2. Cumulative distribution function - Wikipedia

    en.wikipedia.org/wiki/Cumulative_distribution...

    The cumulative distribution function of a real-valued random variable is the function given by [2]: p. 77. (Eq.1) where the right-hand side represents the probability that the random variable takes on a value less than or equal to . The probability that lies in the semi-closed interval , where , is therefore [2]: p. 84.

  3. Approximations of π - Wikipedia

    en.wikipedia.org/wiki/Approximations_of_π

    From the mid-20th century onwards, all improvements in calculation of π have been done with the help of calculators or computers. In 1944−45, D. F. Ferguson, with the aid of a mechanical desk calculator, found that William Shanks had made a mistake in the 528th decimal place, and that all succeeding digits were incorrect. [34] [38]

  4. Ratio distribution - Wikipedia

    en.wikipedia.org/wiki/Ratio_distribution

    A ratio distribution (also known as a quotient distribution) is a probability distribution constructed as the distribution of the ratio of random variables having two other known distributions. Given two (usually independent) random variables X and Y, the distribution of the random variable Z that is formed as the ratio Z = X / Y is a ratio ...

  5. Normal distribution - Wikipedia

    en.wikipedia.org/wiki/Normal_distribution

    Therefore, it may not be an appropriate model when one expects a significant fraction of outliers—values that lie many standard deviations away from the mean—and least squares and other statistical inference methods that are optimal for normally distributed variables often become highly unreliable when applied to such data.

  6. Pi - Wikipedia

    en.wikipedia.org/wiki/Pi

    t. e. The number π (/ paɪ /; spelled out as " pi ") is a mathematical constant that is the ratio of a circle 's circumference to its diameter, approximately equal to 3.14159. The number π appears in many formulae across mathematics and physics.

  7. Binomial distribution - Wikipedia

    en.wikipedia.org/wiki/Binomial_distribution

    A Binomial distributed random variable X ~ B(n, p) can be considered as the sum of n Bernoulli distributed random variables. So the sum of two Binomial distributed random variable X ~ B(n, p) and Y ~ B(m, p) is equivalent to the sum of n + m Bernoulli distributed random variables, which means Z=X+Y ~ B(n+m, p). This can also be proven directly ...

  8. Mathematics - Wikipedia

    en.wikipedia.org/wiki/Mathematics

    Variables allow mathematicians to describe the operations that have to be done on the numbers represented using mathematical formulas. [ 44 ] Until the 19th century, algebra consisted mainly of the study of linear equations (presently linear algebra ), and polynomial equations in a single unknown , which were called algebraic equations (a term ...

  9. SymPy - Wikipedia

    en.wikipedia.org/wiki/SymPy

    The SymPy library is split into a core with many optional modules. Currently, the core of SymPy has around 260,000 lines of code [8] (it also includes a comprehensive set of self-tests: over 100,000 lines in 350 files as of version 0.7.5), and its capabilities include: [4] [5] [9] [10] [11]