Question

In: Statistics and Probability

Customers are arriving to a shop according to Poisson process with mean 3.2 customers/hour. What is...

Customers are arriving to a shop according to Poisson process with mean 3.2 customers/hour. What is the probability that the next customer will arrive after 10 minutes but before 33 minutes?

Solutions

Expert Solution

Answer:-

Given that:-

Customers are arriving to a shop according to Poisson process with mean 3.2 customers/hour.

What is the probability that the next customer will arrive after 10 minutes but before 33 minutes?

The probability that the next customer will arrive after 10 minutes but before 33 minutes

Customers are arriving to a shop according to Poisson process with mean= 3.2 customers/hour.

The interval between 10 minutes and 33 minutes, t=(33-10) = 23 minutes = Hours

Then, X= Number of customer arriving.

and   

we want,

     

  

  

The probability that the next customer will arrive after 10 minutes but before 33 minutes is


Related Solutions

The number of female customers arriving to a coffee shop follow a Poisson process with a...
The number of female customers arriving to a coffee shop follow a Poisson process with a mean rate of 3 per hour. The number of male customers arriving to the same coffee shop also follow a Poisson process with a mean rate of 6 per hour and their arrival is independent of the arrivals of female customers. a) What is the probability that the next customer will arrive within 5 minutes? b) What is the probability that exactly thee customers...
Customers arrive in a certain shop according to an approximate Poisson process on the average of...
Customers arrive in a certain shop according to an approximate Poisson process on the average of two every 6 minutes. (a) Using the Poisson distribution calculate the probability of two or more customers arrive in a 2-minute period. (b) Consider X denote number of customers and X follows binomial distribution with parameters n= 100. Using the binomial distribution calculate the probability oftwo or more customers arrive in a 2-minute period. (c) Let Y denote the waiting time in minutes until...
Suppose the number of customers arriving in a bookstore is Poisson distributed with a mean of...
Suppose the number of customers arriving in a bookstore is Poisson distributed with a mean of 2.3 per 12 minutes. The manager uses a robot to observe the customers coming to the bookstore. a)What is the mean and variance of the number of customers coming into the bookstore in 12 minutes? b)What is the probability that the robot observes 10 customers come into the bookstore in one hour? c)What is the probability that the robot observes at least one customer...
Customers arrive at a service facility according to a Poisson process of rate 5 /hour Let...
Customers arrive at a service facility according to a Poisson process of rate 5 /hour Let N(t) be the number of customers that have arrived up to time t hours). a. What is the probability that there is at least 2 customer walked in 30 mins? b.If there was no customer in the first30 minutes, what is the probability that you have to wait in total of more than 1 hours for the 1 st customer to show up? c.For...
Customers arrive at a service center according to a Poisson process with a mean interarrival time...
Customers arrive at a service center according to a Poisson process with a mean interarrival time of 15 minutes. If two customers were observed to have arrived in the first hour, what is the probability that at least one arrived in the last 10 minutes of that hour?
The number of arriving customers to a big supermarket is following a Poisson distribution with a...
The number of arriving customers to a big supermarket is following a Poisson distribution with a rate of 4 customers per a minute. What is the probability that no customer will arrive in a given minute? What is the probability that exactly 3 customers will arrive in a given minute? What is the probability that at least seven customer will arrive in a given minute? What is the probability that at most one customer will arrive in 40 seconds? What...
People arrive at a party according to a Poisson process of rate 30 per hour and...
People arrive at a party according to a Poisson process of rate 30 per hour and remain for an independent exponential time of mean 2 hours. Let X(t) be the number of people at the party at time t (in hours) after it started. Compute E[X(t)] and determine how long it takes to have on average more than 40 people at the party.
Customers arrive to the checkout counter of a convenience store according to a Poisson process at...
Customers arrive to the checkout counter of a convenience store according to a Poisson process at a rate of two per minute. Find the mean, variance, and the probability density function of the waiting time between the opening of the counter and the following events: a. The arrival of the second customer. b. The arrival of the third customer. c. What is the probability that the third customer arrives within 6 minutes? You can use a computer if you’d like...
Customers arrive at a department store according to a Poisson process with an average of 12...
Customers arrive at a department store according to a Poisson process with an average of 12 per hour. a. What is the probability that 3 customers arrive between 12:00pm and 12:15pm? b. What is the probability that 3 customers arrive between 12:00pm and 12:15pm and 6 customers arrive between 12:30pm and 1:00pm? c. What is the probability that 3 customers arrive between 12:00pm and 12:15pm or 6 customers arrive between 12:30pm and 1:00pm? d. What is the probability that a...
Customers arrive at a hair salon according to a Poisson process with an average of 16...
Customers arrive at a hair salon according to a Poisson process with an average of 16 customers per hour. The salon has just one worker due to covied-19 restriction. Therefore, the salon must close whenever the worker leaves. assume that customers who arrive while the salon is closed leave immediately and don’t wait until the worker returns. The salon is closed on weekends. a. What is the probability that at most (less than) four customers arrive in the hour before...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT