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  1. Hace 3 días · 2. Carl Friedrich Gauss (1777-1855) Gauss, conocido como el "Príncipe de los Matemáticos", hizo contribuciones significativas en álgebra, geometría, teoría de números y estadística. Su teorema fundamental del álgebra y la distribución normal de Gauss son fundamentales en la teoría de números y la estadística.

  2. Hace 1 día · Fruits of his practical works were the inventions of the heliotrope in 1821, a magnetometer in 1833 and, alongside Wilhelm Eduard Weber, the first electromagnetic telegraph in 1833.

  3. Hace 1 día · Carl Friedrich Gauss, for example, once defined the standard normal as φ ( z ) = e − z 2 π , {\displaystyle \varphi (z)={\frac {e^{-z^{2}}}{\sqrt {\pi }}},} which has a variance of 1/2, and Stephen Stigler [7] once defined the standard normal as

  4. Hace 4 días · Carl Friedrich Gauss. Gaussian units constitute a metric system of physical units. This system is the most common of the several electromagnetic unit systems based on cgs (centimetre–gram–second) units. It is also called the Gaussian unit system, Gaussian-cgs units, or often just cgs units.

  5. Hace 5 días · Gauss elimination, in linear and multilinear algebra, a process for finding the solutions of a system of simultaneous linear equations by first solving one of the equations for one variable (in terms of all the others) and then substituting this expression into the remaining equations.

    • The Editors of Encyclopaedia Britannica
  6. Because of the fundamental nature of the integers in mathematics, and the fundamental nature of mathematics in science, the famous mathematician and physicist Gauss wrote: "Mathematics is the queen of the sciences, and number theory is the queen of mathematics."

  7. The normal distribution, also called the Gaussian distribution, is a probability distribution commonly used to model phenomena such as physical characteristics (e.g. height, weight, etc.) and test scores. Due to its shape, it is often referred to as the bell curve: The graph of a normal distribution with mean of 0 0 and standard deviation of 1 1.