Student's t probability density function


y = tpdf(x,nu)


y = tpdf(x,nu) returns the probability density function (pdf) of the Student's t distribution at each of the values in x using the corresponding degrees of freedom in nu. x and nu can be vectors, matrices, or multidimensional arrays that have the same size. A scalar input is expanded to a constant array with the same dimensions as the other inputs.


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Compute Student's t pdf

The mode of the Student's t distribution is at x = 0. This example shows that the value of the function at the mode is an increasing function of the degrees of freedom.

ans =

    0.3183    0.3536    0.3676    0.3750    0.3796    0.3827

The t distribution converges to the standard normal distribution as the degrees of freedom approaches infinity. How good is the approximation for $\nu$ equal to 30?

difference = tpdf(-2.5:2.5,30)-normpdf(-2.5:2.5)
difference =

    0.0035   -0.0006   -0.0042   -0.0042   -0.0006    0.0035

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Student's t pdf

The probability density function (pdf) of the Student's t distribution is


where ν is the degrees of freedom and Γ( · ) is the Gamma function. The result y is the probability of observing a particular value of x from a Student's t distribution with ν degrees of freedom.

See Also

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