Statistics: tcdf

### Function Reference: `tcdf`

statistics: p = tcdf (x, df)
statistics: p = tcdf (x, df, `"upper"`)

Student’s T cumulative distribution function (CDF).

For each element of x, compute the cumulative distribution function (CDF) of the Student’s T distribution with df degrees of freedom. The size of p is the common size of x and df. A scalar input functions as a constant matrix of the same size as the other input.

`p = tcdf (x, df, "upper")` computes the upper tail probability of the Student’s T distribution with df degrees of freedom, at the values in x.

Further information about the Student’s T distribution can be found at https://en.wikipedia.org/wiki/Student%27s_t-distribution

See also: tinv, tpdf, trnd, tstat

Source Code: tcdf

### Example: 1

     ## Plot various CDFs from the Student's T distribution
     x = -5:0.01:5;
     p1 = tcdf (x, 1);
     p2 = tcdf (x, 2);
     p3 = tcdf (x, 5);
     p4 = tcdf (x, Inf);
     plot (x, p1, "-b", x, p2, "-g", x, p3, "-r", x, p4, "-m")
     grid on
     xlim ([-5, 5])
     ylim ([0, 1])
     legend ({"df = 1", "df = 2", ...
              "df = 5", 'df = \infty'}, "location", "southeast")
     title ("Student's T CDF")
     xlabel ("values in x")
     ylabel ("probability")