# MA2262 SYLLABUS PDF

Anna University, Chennai Department of Computer Science Engineering ( Common to I.T) Fourth Semester MA Probability and Queueing. Subject Code: MA Subject Name: Probability and Queuing Theory Type: Question Bank Edition Details: Kings Edition Syllabus. MA — PROBABILITY AND QUEUEING THEORY (Regulation ). ( Common to Information Technology) Time: Three hours Answer ALL Questions PART.

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Telecommunication field, Bioinformatics, biomedical Industry. Title of the Presentation Line 1 [36pt Calibri bold blue] Title of the. Networks preserving the following characteristics are called Jackson networks. Because of space constraints, only syllagus cars are accepted for servicing. Each emitted particle has a probability of 0.

The number of monthly breakdown of a computer is a r. A man either drives a car or catches a train to go to office each syllabud.

Random process is a function of time and the outcomes of a random experiment. Thus T is the random service time, which is a continuous random variable. A random sample of size is taken from a population whose mean is 60 and variance is Continuous Random sequence 3. Assuming that the system na2262 can be approximated by a 2 stage tandem queue find the probability that the service stations are idle.

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Arrivals from outside through node i follow a Poisson process with mean arrival rate ri. In series queuesthere are a series of service stations through which each calling unit must progress prior to leaving the system. Assume that the inter arrival time follows an exponential distribution and the service time distribution is also exponential with an average of 36 minutes. Let X be the power consumption in millions of kilowatt hours. A random process in which the future value depends only on the present value but not on the past value is called Markov process.

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Given that B is a R. Define wide sense stationary process. If the one-step transition probability does not depend on the step i. Customers spend an average of 15 min. MA Question Bank – Solutions: So he made a. What is the probability that it has one or more defectives? When do you say the Markov chain is homogeneous?

Define open Jackson networks. MA Question Bank – 10 customers in the system. System independent of time t. If customers arrive at the barber shop in a Poisson fashion at an average rate of one every 40 minutes, how long on the average a customer in the spends in the shop.

If letters arrive for being typed at the rate of 15 letters per hour, find the traffic intensity. Joseph The Dreamer – christ connect church. It is given that X be the daily water consumption of the locality in million litres and X follows gamma distribution with average of 3 million litres.

Find the probability that he takes a train on the third day. Each typist can type an average of 6 letters per hour.

Documents Flashcards Grammar checker. Find the probability that i no one joins the queue in a particular minute ii 2 or more persons join the queue in the minute.

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## Probability and Queueing Theory(question with answer)

Define i Continuous time random process 2 Discrete random process. Let one copy of a magazine out of 10 copies bears a special prize following Geometric distribution, Determine its mean and variance.

In discrete random process, X is. Probability and Queueing Theory 3 1 Subject Code: What is the average waiting time of the system if the system could be approximated by a two series Tandem queue? Define Transition probability matrix.

What is the average calling rate for the services of the crane and what is the average delay in getting service? A one person barber shop has six chairs to accommodate people waiting for a haircut. Time study observations gave the average slinging time as Write any two properties of regression coefficients.

November 19, 0. If the pumping station of the locality has a daily supply capacity of a millions litres. Check whether it is regular. What do you mean by traffic intensity? Service time distribution follows Poisson distribution. What fraction of the potential customers are turned away? A random sample of 8 lamps is taken for inspection.

If jobs arrive at a rate of 5 per hour and the time to complete each job varies according to an exponential distribution with mean 6 min. Show that X t is not wide sense stationary.