The analyst draws a random number from a normally distributed table of random numbers. The random number is -2.00. A normal distribution has a mean of 500 and a standard deviation of 50. An analyst wants to simulate observations from a uniform distribution that has a lower limit of 60 minutes and an upper limit of 80 minutes. The analyst draws the random number 75 from a two-digit random number table.
Customers arrive at a retail store at an average rate of five per hour.
The time between arrivals can be described by a negative exponential distribution. A uniform distribution has end points of 450 and 500, which represent the time limits for a production operation. A manager wants to simulate two times from this distribution, and has obtained the numbers 44 and 10 from a two-digit random number table. It permits experimentation with the system. It generates an optimum solution.