The event scheduling strategy is tested by running a general queuing
simulation. The arrival and service pattern (M or D), the number of service
points and the arrival and service rate are the input for the
simulation. The results are compared with the analytical values with
the methods of the analysis class. If these values lie within
the 95% interval of the simulation results on 95% or more of the experiments
the event scheduling strategy passed the test.
For example, if we look at the analytical values of the M/M/1 queue, with an
arrival rate of 3 and a service rate of 4, the mean of the queue size,
according to [Gross 85], is equal to
where 
is the number of arriving customers per time unit and
is the service rate per time unit. So the queue size in our M/M/1 queue
is equal to 
.
The mean time spent queuing is
or in our M/M/1 queue 
. These values do indeed agree with
the results of the simulation program of the M/M/1 queue, taking the
confidence intervals into account.