The Student’s t distribution
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The Student’s t distribution (more simply the t
distribution) arises when estimating the mean of a normally distributed
population when sample sizes are small and the population standard deviation is
unknown.
 
![[SmartChart]](I/StudentsTDistribution_files/image001.gif) 
 ![[SmartChart]](I/StudentsTDistribution_files/image002.gif) 
 ![[SmartChart]](I/StudentsTDistribution_files/image003.gif)
 
 
  | Distribution name | (Standard) Student’s
  t distribution | 
 
  | Common notation | 
 | 
 
  | Parameters |  =
  degrees of freedom (  , usually  is
  an integer although in some situations a non-integral  can
  arise)
 | 
 
  | Domain | 
 | 
 
  | Probability density
  function | 
 | 
 
  | Cumulative distribution
  function | 
 where  | 
 
  | Mean | 
 | 
 
  | Variance | 
 | 
 
  | Skewness | 
 | 
 
  | (Excess) kurtosis | 
 | 
 
  | Characteristic function | 
 where  is a Bessel function | 
 
  | Other comments | It is a special case of the generalised hyperbolic
  distribution.   Its non-central moments if  is
  even and  are: 
   If  is even and  then  , if  is
  odd and  then  and if  is
  odd and  then  is undefined. | 
 
Nematrian web functions
 
Functions relating to the above distribution may be accessed
via the Nematrian
web function library by using a DistributionName of “student's t”.
Functions relating to a generalised version of this distribution including
additional location (i.e. shift) and scale parameters may be accessed by using
a DistributionName of “student's t3”, see also including
additional shift and scale parameters. For details of other supported
probability distributions see here.
 
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