1: The Poisson distribution is a continuous distribution

True false

2: When a waiting line system reaches a steady state, it means that the number of units in the system does not change anymore

True False

3: In a one server waiting line system:

• The probability that a customer is being served, equals
• One minus the probability that the server is idle

True False

4: The assumption that arrivals follow a Poisson probability distribution is equivalent to the assumption that the time between arrivals are distributed according to an exponential probability distribution

True False

5: 120 customers arriving in two hours is equivalent to 30 customers per 30 minutes

True False

6: The average number of customers in a waiting line system that resides in a steady state: equals the average number of customer in the waiting room plus the average number of customers being served.

True False

7: For any waiting line system simulation, (Average number of units in waiting room [line/queue]) = (Total waiting time) divided by (Total time of simulation).

True False

8: The waiting line models we covered during this course describe the transient-period operating characteristics of a waiting line.

True False

9: The average number of units in the (one server) waiting line system (in the steady state) equals:

• /( - )

True and false

10: The expected number of customers being serviced in a steady state single server waiting line system equals divided by .

True False