3. Customers arrive at the drive-through lane of a fast food restaurant at a rate of...
7:08 courses.yorkvilleu.ca 4 of 4 YORKVILLE 7. Customers arrive at the drive-through ane of a fast food restaurant at a rate of one every 3 minutes. Use the Poisson probability distribution to answer the following questions: (8 points) a. What is the expected number of calls in one hour? b. What is the probability that exactly two customers arriving at the drive through lane in a nine-minutes interval? c. What is the probability that less than two customers arrive at...
TII t slllaid devilatión of this probability function? 6, 25% of the customers at XYZ Stores use a debit card to pay for their purchases. In a recent market research study, 18 of the Store's over 20,000 customers on record was randomly selected for two focus groups on new payment technologies. (5 points) a Is the selection of 18 customers a binomial experiment? Please explaun b. What is the probability that 5 of the 18 customers selected use a debit...
During lunchtime at a certain fast food restaurant, customers arrive at an average rate of 7 customers every 5 minutes. assume a poisson distribution to find the probability that: A) exactly 12 customers arrive in a given 10 minute interval (perform this calculation using an appropriate formula, showing the setup.) b) between 5 and 10 customers (inclusive) arrive in a given 5 minute interval (show how you can answer this from the table) c) after a customer arrives, find the...
A Fast Food drive-through Restaurant with a single check-out counter opens six days a week, but its heaviest day of business is on Saturdays. Customers arrive at an average rate of 20 per hour on Saturdays. Customers can be provided service at the rate of one every two minutes. Assuming Poisson arrivals and exponential service times, find: The average number of customers in line The average time a car waits before being served The average time a customer spends in...
3. A fast food restaurant has a drive-thru window. On average 40 customers arrive at the window every hour. It takes 1 minute on average to serve a customer. a. What is the average number of customers that will be in line and in service at any time? b. On average, how long will a customer spend in the system?
A fast-food restaurant manager knows that cars arrive at the drive-through at the rate of 3 cars per minute between the hours of 12 noon and 12.30 pm. The manger wants to determine and interpret the probability of following events; Exactly 6 cars arrive between 12 noon and 12.05 pm. Fewer than 6 cars arrive between 12.00 noon and 12.05 pm. At least 6 cars arrive between 12 noon and 12.05 pm.
Problem 1. Consider a fast food restaurant where customers arrive and get in line according to a Poisson process with an average rate of 120 customers per hour. The restaurant has one line and the amount of time it takes the cashier to serve a customer is exponentially distributed with a mean of 2 minutes. Let X_t denote the number of customers in line at time t. 1. Give the state space of the chain (X_t)t≥0. 2. For each state...
The average number of customers arriving at a drive-through window of a bank branch is 39 per hour during lunch hours. Use X to denote the number of arrivals in a 5 minute time interval. Assume the customers arrive independently and the number of arrivals within each 5 minutes follows a Poisson distribution. Keep at least 4 decimal digits if the result has more decimal digits. I AM JUST LOOKING FOR WHAT FUNCTION/EQUATION TO PUT INTO MY CALCULATOR TO GET...
Arrivals at a fast-food restaurant follow a Poisson distribution with a mean arrival rate of 16 customers per hour. What is the probability that in the next hour there will be exactly 8 arrivals?
The number of customers arriving at a local business every 15 minutes is 3. Supposing the arrival of customers follows a Poisson distribution, answer the following questions: What is the probability that exactly 5 people arrive in the next 15 minutes? What is the probability that at least 4 people arrive in the next 15 minutes? Probability that between 2 and 6 people arrive inclusive? Expected number to arrive in the next hour? Expected number to arrive in an 8 hour...