| Monte Carlo Simulation
Ten procedures were added for studying the
significance and power of various tests of means using Monte Carlo
simulation. These procedures are especially useful when the data do not
follow the usual assumptions of normally and equal variances. Test
statistics that can be studied include the one-sample t-test, the
two-sample t-test, the paired t-test, the F-test, and several types of
multiple comparisons. Simulated data can be mixtures of beta, binomial,
Cauchy, exponential, F, gamma, multinomial, normal, Poisson, T, Tukey's
lambda, uniform, and Weibull random variables.
[Back to PASS]
[Back to
PASS
Procedure List] |
