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  2. Normal distribution - Wikipedia

    en.wikipedia.org/wiki/Normal_distribution

    That is, if we have a value for the cumulative distribution function, (), but do not know the x needed to obtain the (), we can use Newton's method to find x, and use the Taylor series expansion above to minimize the number of computations.

  3. Interval (mathematics) - Wikipedia

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

    For example, the set of real numbers consisting of 0, 1, and all numbers in between is an interval, denoted [0, 1] and called the unit interval; the set of all positive real numbers is an interval, denoted (0, ∞); the set of all real numbers is an interval, denoted (−∞, ∞); and any single real number a is an interval, denoted [a, a].

  4. Standard deviation - Wikipedia

    en.wikipedia.org/wiki/Standard_deviation

    A little algebra shows that the distance between P and M (which is the same as the orthogonal distance between P and the line L) (¯) is equal to the standard deviation of the vector (x 1, x 2, x 3), multiplied by the square root of the number of dimensions of the vector (3 in this case).

  5. Problem solving - Wikipedia

    en.wikipedia.org/wiki/Problem_solving

    The former is an example of simple problem solving (SPS) addressing one issue, whereas the latter is complex problem solving (CPS) with multiple interrelated obstacles. [1] Another classification of problem-solving tasks is into well-defined problems with specific obstacles and goals, and ill-defined problems in which the current situation is ...

  6. Bayes' theorem - Wikipedia

    en.wikipedia.org/wiki/Bayes'_theorem

    Bayes' theorem applied to an event space generated by continuous random variables X and Y with known probability distributions. There exists an instance of Bayes' theorem for each point in the domain. In practice, these instances might be parametrized by writing the specified probability densities as a function of x and y.

  7. Mathematical coincidence - Wikipedia

    en.wikipedia.org/wiki/Mathematical_coincidence

    That is, where m is the number of miles, k is the number of kilometres and e is Euler's number. A density of one ounce per cubic foot is very close to one kilogram per cubic metre: 1 oz/ft 3 = 1 oz × 0.028349523125 kg/oz / (1 ft × 0.3048 m/ft) 3 ≈ 1.0012 kg/m 3 .

  8. Expected value - Wikipedia

    en.wikipedia.org/wiki/Expected_value

    Méré claimed that this problem could not be solved and that it showed just how flawed mathematics was when it came to its application to the real world. Pascal, being a mathematician, was provoked and determined to solve the problem once and for all. He began to discuss the problem in the famous series of letters to Pierre de Fermat. Soon ...

  9. Significant figures - Wikipedia

    en.wikipedia.org/wiki/Significant_figures

    An exact number has an infinite number of significant figures. If the number of apples in a bag is 4 (exact number), then this number is 4.0000... (with infinite trailing zeros to the right of the decimal point). As a result, 4 does not impact the number of significant figures or digits in the result of calculations with it.