Using JMP - SAS

Appendix B Formula Functions Reference 421
Probability Functions
Normal Quantile (Probit)
Accepts a probability argument p, and returns the p th quantile from the standard normal distribution. For
example, the expression Normal Quantile(0.975) returns the 97.5% quantile from the standard normal
distribution, which evaluates as 1.96. Also, you can specify parameter values for the mean and standard
deviation to obtain quantiles from nonstandard normal distributions. The Normal Quantile function is the
inverse of the Normal Distribution function.
Normal Biv Distribution
Computes the probability that an observation is less than or equal to (x,y) with correlation coefficient r
where the observation is marginally normally distributed. You can specify the mean and standard deviation
for the X and Y coordinates of the observation. The default values are 0 for both means and 1 for both
standard deviations.
GLog Density
Returns the density or pdf at a particular quantile q of a generalized logarithm distribution with location
mu, scale sigma, and shape lambda. When the shape parameter is equal to zero, the distribution reduces to a
Lognormal(mu, sigma).
GLog Distribution
Returns the probability or cdf that a generalized logarithm distributed random variable is less than q. When
the shape parameter is equal to zero, the distribution reduces to a Lognormal(mu, sigma).
GLog Quantile
Returns the quantile, the value for which the probability is p that a random value would be lower. When the
shape parameter is equal to zero, the distribution reduces to a Lognormal(mu, sigma).
SEV Density
Returns the density at x of the smallest extreme distribution with location mu and scale sigma.
SEV Distribution
Returns the probability that the smallest extreme distribution with location mu and scale sigma is less than x.
SEV Quantile
Returns the quantile associated with a cumulative probability p of the smallest extreme distribution with
location mu and scale sigma.