The number of telephone calls at a call center follows a Poisson distribution. Assume that on average there are 10 calls per hour. What is the probability that there are exactly 5 calls in 30 minutes? O (e^(-10)*10^5)/5! O (e^(-10)*30^5)/30! O (e^(-5)*5^5)/5! Suppose that the probability that an item produced by a certain machine will be defective is 0.1. We are interested in measuring the probability that a sample of 10 items will contain at most one defective item. What is an appropriate distribution to model the number of defective items in the sample?
The number of telephone calls at a call center follows a Poisson distribution. Assume that on average there are 10 calls per hour. What is the probability that there are exactly 5 calls in 30 minutes? O (e^(-10)*10^5)/5! O (e^(-10)*30^5)/30! O (e^(-5)*5^5)/5! Suppose that the probability that an item produced by a certain machine will be defective is 0.1. We are interested in measuring the probability that a sample of 10 items will contain at most one defective item. What is an appropriate distribution to model the number of defective items in the sample?
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:The number of telephone calls at a call center
follows a Poisson distribution. Assume that on
average there are 10 calls per hour.
What is the probability that there are exactly 5
calls in 30 minutes?
O (e^(-10)*10^5)/5!
O (e^(-10)*30^5)/30!
(e^(-5)*5^5)/5!
Suppose that the probability that an item
produced by a certain machine will be defective
is 0.1. We are interested in measuring the
probability that a sample of 1O items will
contain at most one defective item.
What is an appi
riate distribution to model
the number of defective items in the sample?
O Geometric
O Binomial
O Hypergeometric
Poisson
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