# Normal distribution/Related Articles

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A list of Citizendium articles, and planned articles, about Normal distribution.

## Parent topics

• Mathematics [r]: The study of quantities, structures, their relations, and changes thereof. [e]
• Probability theory [r]: Mathematical theory of randomness. [e]
• Probability distribution [r]: Function of a discrete random variable yielding the probability that the variable will have a given value. [e]

## Other related topics

• Applied statistics [r]: the practice of collecting and interpreting numerical observations for the purpose of generating information. [e]
• Carl Friedrich Gauss [r]: German mathematician, who was one of the most influential figures in the history of mathematics and mathematical physics (1777 – 1855). [e]
• Confidence interval [r]: the range of a random variable, such as the mean of a sample, that — with a specified probability — contains the true value for the population. [e]
• Error function [r]: A function associated with the cumulative distribution function of the normal distribution. [e]
• Errors and residuals in statistics [r]: Comparison of two related notions of mathematical statistics. [e]
• Fourier transform [r]: Decomposition to the sum or integral of ${\displaystyle \scriptstyle {f(x)=e^{-ikx}}}$ functions. [e]
• Gamma function [r]: A mathematical function that extends the domain of factorials to non-integers. [e]
• Partial derivative [r]: A function of several variables is its derivative with respect to one of those variables while all others are kept constant. [e]
• Pascal's triangle [r]: A convenient tabular presentation for the binomial coefficients. [e]
• Photon [r]: elementary particle with zero rest mass and unit spin associated with the electromagnetic field. [e]
• Poisson distribution [r]: a probability distribution that is typically used to model the number of independent events (occurring at a constant average rate) that fall within a stated interval. [e]
• Random number [r]: A member of a sequence of which the successive values cannot be predicted, produced by measurement of physical phenomena, appropriate algorithms, or a combination of the two [e]
• Random variable [r]: a variable whose value is determined by chance rather than as a result of a known cause. [e]
• Standard deviation [r]: A statistical measure for the fluctuation of a random variable about its mean value (the square root of the variance). [e]
• Stochastic convergence [r]: A mathematical concept intended to formalize the idea that a sequence of essentially random or unpredictable events sometimes is expected to settle into a pattern. [e]
• Taylor series [r]: Representation of a function as an infinite sum of terms calculated from the values of its derivatives at a single point. [e]
• Variance [r]: A statistical measure of the variability of a random quantity (defined as the mean squared deviation from the mean value). [e]