Question

QUESTION 1 Given a that arrivals in GCB follows a Poisson distribution with a random average...

QUESTION 1
Given a that arrivals in GCB follows a Poisson distribution with a random average rate write a MATLAB programme to simulate

i) The graph of the probability distribution of arrivals

ii) The graph for the cumulative distribution

iii) The expected time

iv) Determine I, ii, and iii in (Q1) for the waiting time of the customers in the above bank given a random rate.

Homework Answers

Answer #1

probability distribution of arrivals

Compute the probability distribution of arrivals with parameter lambda = 9.

x = 0:20;

y = poisspdf(x,9);

Plot the pdf with bars of width 1.

figure

bar(x,y,1)

xlabel('Observation')

ylabel('Probability')

Cumulative Distribution

Compute the cdf of thecumulative distribution with parameter lambda = 4.

x = 0:20;

y = poisscdf(x,10);

Plot the cdf.

figure

stairs(x,y)

xlabel('Observation')

ylabel('Cumulative Distribution')

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
b. If a random variable follows a Poisson distribution with λ = 4 and t =...
b. If a random variable follows a Poisson distribution with λ = 4 and t = 2. Find     (i) The probability of more than 5 successes.    (ii) The probability of at most 2 successes.    (iii) The probability of less than 2 successes.    (iv) The probability of between 2 and 5 successes, P(2 ≤ X ≤ 5). The expected value (E(x)), variance (σ2), and standard deviation of this Poisson distribution. (Show work)
2. The waiting time between arrivals at a Wendy’s drive-through follows an exponential distribution with ?...
2. The waiting time between arrivals at a Wendy’s drive-through follows an exponential distribution with ? = 15 minutes. What is the distribution of the number of arrivals in an hour? a. Poisson random variable with μ=15 b. Poisson random variable with μ=4 c. Exponential random variable with ?=15 d. Exponential random variable with ?=4
Question Two At a particular Automatic Teller Machine (ATM), customer’s arrival follows a Poisson distribution with...
Question Two At a particular Automatic Teller Machine (ATM), customer’s arrival follows a Poisson distribution with an average time of 6 minutes between arrivals. The time- intervals between services at ATM is 3 minutes. On the basis of this information, answer the following questions:       What would be the expected average queue length and the average number of customers in the queuing system?       How long on average does a customer have to wait in the queue?             How much time on...
QUESTION ONE: (a) Based on past experience, the quality control engineer of Heavy Electrical Limited has...
QUESTION ONE: (a) Based on past experience, the quality control engineer of Heavy Electrical Limited has estimated that the probability of commissioning each project in time at a site is 0.9. The company is planning to commission 5 such projects in the forthcoming year. Find the probability of commissioning: i.)No project ii.) Two projects in time iii.) At most one project in time iv). At least two projects in time v). Find the mean and variance of the above distribution...
Suppose that the number of eggs that a hen lays follows the Poisson distribution with parameter...
Suppose that the number of eggs that a hen lays follows the Poisson distribution with parameter λ = 2. Assume further that each of the eggs hatches with probability p = 0.8, and different eggs hatch independently. Let X denote the total number of survivors. (i) What is the distribution of X? (ii) What is the probability that there is an even number of survivors? (iii) Compute the probability mass function of the random variable sin(πX/2) and its expectation.
Suppose that the number of eggs that a hen lays follows the Poisson distribution with parameter...
Suppose that the number of eggs that a hen lays follows the Poisson distribution with parameter λ = 2. Assume further that each of the eggs hatches with probability p = 0.8, and different eggs hatch independently. Let X denote the total number of survivors. (i) What is the distribution of X? (ii) What is the probability that there is an even number of survivors? 1 (iii) Compute the probability mass function of the random variable sin(πX/2) and its expectation.
Starting at time 0, a red bulb flashes according to a Poisson process with rate ?=1...
Starting at time 0, a red bulb flashes according to a Poisson process with rate ?=1 . Similarly, starting at time 0, a blue bulb flashes according to a Poisson process with rate ?=2 , but only until a nonnegative random time ? , at which point the blue bulb “dies." We assume that the two Poisson processes and the random variable ? are (mutually) independent. Suppose that ? is equal to either 1 or 2, with equal probability. Write...
Consider a street hot dog vendor that has a demand that follows a Poisson distribution with...
Consider a street hot dog vendor that has a demand that follows a Poisson distribution with mean of 0.75 customer/minute while the time to serve customer follows a negative exponential distribution with the mean of 1 min. 1. Utilization of the vendor 2. The probability that a new customer arrival has to wait 3. The probability that there is no customer in the system 4. What is the probability that the system will have 5 or more customers? 5. Average...
Question # 1: Which of the following are continuous random variables? I. The sum of numbers...
Question # 1: Which of the following are continuous random variables? I. The sum of numbers on a pair of two dice II. The possible sets of outcomes from flipping ten coins III. The possible sets of outcomes from flipping (countably) infinite coins IV. The possible values of outside temperature in Texas V. The possible times that a person arrives at a restaurant a. I & II & III b. II & III Only c. III & IV d. IV...
Given that 1% of the population are left handed, if a random sample of 1000 people...
Given that 1% of the population are left handed, if a random sample of 1000 people is selected where x denotes the number of left handed people, a) The random variable X is (choose one) i) Binomial ii) hypergeometric iii) Poisson iv) Normal v) Exponential vi) Uniform b) Give the expectation value and variance of X. c) Find the probabilities P(X=6) and P(X≥6). d) Which distribution from those listed in part (a) can be used as an approximation to the...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT