Normal Distribution
Another name for a Gaussian Distribution. Given a normal distribution in a Variate 
with Mean
and Variance 
,
the so-called ``Standard Normal Distribution'' is given by taking
and 
. An arbitrary normaldistribution can be converted to a Standard Normal Distribution by changing variables to 
, so
, yielding
The Fisher-Behrens Problem is the determination of a test for the equality of Means for two normaldistributions with different Variances.See also Fisher-Behrens Problem, Gaussian Distribution, Half-Normal Distribution, Kolmogorov-SmirnovTest, Normal Distribution Function, Standard Normal Distribution, Tetrachoric Function
- Gauss's Criterion
- Gauss's Double Point Theorem
- Gauss's Equation (Radius Derivatives)
- Gauss's Formula
- Gauss's Formulas
- Gauss's Forward Formula
- Gauss's Harmonic Function Theorem
- Gauss's Hypergeometric Theorem
- Gauss's Inequality
- Gauss's Interpolation Formula
- Gauss's Lemma
- Gauss's Machin-Like Formula
- Gauss's Mean-Value Theorem
- Gauss's Polynomial Theorem
- Gauss's Reciprocity Theorem
- Gauss's Test
- Gauss's Theorem
- Gauss's Theorema Egregium
- Gauss's Transformation
- Gear Graph
- Gegenbauer Function
- Gegenbauer Polynomial
- Gelfond-Schneider Constant
- Gelfond-Schneider Theorem
- Gelfond's Theorem