SAS for z, t, chi-square and F distributions                             1
 The relation is Prob(Y < x) = p                 10:10 Sunday, July 20, 2008

Obs    name1      name2      df1     df2       x          p

  1    normal                 .        .     1.9600    0.97500
  2    inverse    normal      .        .     1.6449    0.95000
  3    t                     5.00      .     1.4760    0.90001
  4    inverse    t         10.00      .     1.8125    0.95000
  5    chisqr                7.00      .    12.0000    0.89944
  6    inverse    chisqr    11.00      .    21.9200    0.97500
  7    F                     5.00     10     3.3300    0.95017
  8    inverse    F          3.00      5     5.4095    0.95000
  9    inverse    chisqr     1.56      .     6.4142    0.97500
 10    inverse    chisqr     1.56      .     0.0161    0.02500
 11    inverse    chisqr     2.00      .     7.3778    0.97500
 12    inverse    chisqr     2.00      .     0.0506    0.02500