Validating input output transformation Telugu girlsex chat 2015
Various processes and techniques are used to assure the model matches specifications and assumptions with respect to the model concept.
The objective of model verification is to ensure that the implementation of the model is correct.
The model would be run with the actual arrival times and the model average time in line would be compared with the actual average time spent in line using one or more tests.
Data analysis led to the conclusion that the arrival process could be modeled as a Poisson process with an arrival rate of 45 customers per hour; and that service times were approximately normally distributed with mean 1.1 minutes and standard deviation 0.2 minute.
This time slot was selected for data collection after consultation with management and the teller because it was felt to be representative of a typical rush hour.
Many structural problems in the model come from poor or incorrect assumptions.
The model is viewed as an input-output transformation for these tests.