std::student_t_distribution
From cppreference.com
                    
                                        
                    
                    
                                                            
                    |   Defined in header <random>
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|   template< class RealType = double > class student_t_distribution;  | 
(since C++11) | |
Produces random floating-point values x, distributed according to probability density function:
- P(x|n) = 
·1 √nπ 
· ⎛Γ( 
)n+1 2 Γ( 
)n 2 
⎜
⎝1+
⎞x2 n 
⎟
⎠ -n+1 2 
 
where n is known as the number of degrees of freedom. This distribution is used when estimating the mean of an unknown normally distributed value given n+1 independent measurements, each with additive errors of unknown standard deviation, as in physical measurements. Or, alternatively, when estimating the unknown mean of a normal distribution with unknown standard deviation, given n+1 samples.
Contents | 
[edit] Member types
| Member type | Definition | 
  result_type
 | 
RealType | 
  param_type
 | 
the type of the parameter set, unspecified | 
[edit] Member functions
|   constructs new distribution  (public member function)  | |
|    resets the internal state of the distribution   (public member function)  | |
 Generation | |
|    generates the next random number in the distribution   (public member function)  | |
 Characteristics | |
|    returns the n distribution parameter (degrees of freedom)   (public member function)  | |
|    gets or sets the distribution parameter object   (public member function)  | |
|    returns the minimum potentially generated value  (public member function)  | |
|    returns the maximum potentially generated value   (public member function)  | |
[edit] Non-member functions
|     compares two distribution objects   (function)  | |
|    performs stream input and output on pseudo-random number distribution   (function)  | |
[edit] Example
| This section is incomplete Reason: no example  | 
[edit] External links
Weisstein, Eric W. "Student's t-Distribution." From MathWorld--A Wolfram Web Resource.