Queuing theory is associated with
Waiting time
Queuing theory is a branch of mathematics and operations research that studies waiting lines, also known as queues. It helps in analyzing processes where customers or items arrive, wait in a line if the service facility is busy, are served, and then depart.
The primary focus of Queuing theory is to model and analyze the characteristics of these waiting lines and the associated service systems. Key aspects studied include:
Out of the given options, Queuing theory is most directly and fundamentally associated with Waiting time. The core problems that Queuing theory attempts to solve often revolve around managing and optimizing waiting times to improve efficiency and customer satisfaction.
For instance, businesses use Queuing theory to determine the optimal number of service counters, staffing levels, or system capacity needed to keep waiting times within acceptable limits while also managing costs.
Therefore, the central concept that Queuing theory is associated with is the analysis and management of the time spent waiting.
The probability of getting a total of 7 on two dice thrown together is:
If moment generating function of continuous random variable X is \(\frac{λ}{λ-t}\) t < λ, then E(X 3) equals to:
If moment generating function of discrete random variable X is (q + pe t) n, then E(X 2) equal to
If A and B are mutually exclusive events such that P(A) P(B) > 0, then which option is correct?
Two random variables X and Y are said to be independent if: