Normal distribution
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In probability theory, the normal (or Gaussian) distribution is a continuous probability distribution that has a bell-shaped probability density function, known as the Gaussian function or informally the bell curve.
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See also
- Behrens–Fisher problem—the long-standing problem of testing whether two normal samples with different variances have same means;
- Bhattacharyya distance - method used to separate mixtures of normal distributions
- Erdős–Kac theorem—on the occurrence of the normal distribution in number theory
- Gaussian blur—convolution which uses the normal distribution as a kernel
- Sum of normally distributed random variables
- Normally distributed and uncorrelated does not imply independent
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