Suppose that the number of calls to the customer service department of Kimberly’s Fine Furniture is Poisson distributed with a µ = 1 per minute. What is the probability of getting at least 50 calls for per hour for at least 3 out of 5 random one-hour periods?
The correct expression for the probability which we need to find is:
1- BINOMDIST(2,5,1-POISSON(49,60,1),1)
Option D is correct.
Suppose that the number of calls to the customer service department of Kimberly’s Fine Furniture is...
1. A) Suppose that incoming calls per hour to an agent of a customer service center of a small credit union are uniformly distributed between 0 and 6 calls. If the center has 10 independent agents, what is the probability that exactly 5 agents receive between 2 and 5 calls? 0.2461 0.2051 0.6230 0.5 0 B) Suppose that incoming calls per hour to an agent of a customer service center of a small credit union are uniformly distributed between 0...
At a customer service call center for a large company, the number of calls received per hour is normally distributed with a mean of 120 calls and a standard deviation of 5 calls. What is the probability that during a given hour of the day there will be less than 132 calls, to the nearest thousandth?
The number of phone calls arriving at a switchboard can be represented by a Poisson random variable. The average number of phone calls per hour is 1.7. (a) Find the probability of getting a total of at least 3 phone calls in the next hour. (b) Find the probability of getting a total of at least 3 phone calls in the next two hours. (c) Find the probability that it is more than 30 minutes until the next call arrives....
A customer service center in Gary, Indiana receives, on average, 2.5 telephone calls per minute. If the distribution of calls is Poisson, what is the probability of receiving more than 4 calls during a particular minute? Do not round intermediate calculations. Round your final answer to four decimals. Format for probabilities: 0.0000
please post all steps 2) The Physics Department at a small University averages 6 telephone calls per hour What is the probability that in one hour they receive: a) Exactly 1 call? b) Exactly 2 calls? c) More than two calls? 3) If you had a collection of 1.5x 1020 unstable nuclei, and the probability of any single nuclei decaying in a given minute is 10-20, find: a) The average number of nuclei decaying per minute. b) Is this situation...
1) The number of calls received at a certain information desk has a Poisson Distribution with an average of 6 calls per hour. (15 points) (a) Find the probability that there is at exactly one call during a 15 minute period. (You cannot use tables here - show all work) (b) Find the probability that at least 6 calls are received during a 30 minute period. (you may use tables here) ******************************** 2) Note that for the above problem, the...
Suppose the number of phone calls arriving at an answering service follows a Poisson process with the rate lambda = 60 (or equivalently, the interarrival times are iid exponential random variables with mean 1 minute). a.) Let T(I,j) denote the time interval from the ith arrival the jth arrival. The correlation between T(10,50) and T(20,60) is equal to ____________. b.) The correlation between T(0,20) and T(0,60) is equal to ________________.
A local police station receives an average 6.3 emergency telephone calls per hour. These calls are Poisson distributed. The probability that the station will get at least 3 calls per hour is: a. 0.0397 0.0941 0.9059 0.9502 0.9630
Problem 6: 10 points John is a customer service representative who responds to the calls. The number of calls during one shift is (N + 1), where is Poisson distributed with the expected value-λ = 24, the duration, U, of a single call (in minutes) is uniformly distributed over the interval (2,8) N+1 Suppose that T- X, represents the actual time spent by John with customers on the phone. 1. Evaluate the average busy time, E T], for John 2....
If the number of calls received per hour by a telephone answering service is a Poisson random variable with parameter A 6, what is the probability of waiting more than 15 minutes between any two successive calls? Select one: O a. 0 O b. 1 O C. 8.1940e-40 O d. 0.167 Check If the number of calls received per hour by a telephone answering service is a Poisson random variable with parameter A 6, what is the probability of waiting...