[Discrete Random Variables] According to an agreement between a smartphone producer and a retail company, the former delivers a large batch of smartphones of some given model. The retail company applies a quality check by randomly selecting 100 smartphones from the batch, and, if 3 or more of these smartphones are found defected, the entire batch is rejected. Suppose a historical defect rate for this type of smartphones is p = 0.005. Derive (and compute) the probability that the batch is not rejected (a) using an exact approach with the Binomial distribution; (b) using an approximation with the Poisson distribution.
[Discrete Random Variables] According to an agreement between a smartphone producer and a retail company, the former delivers a large batch of smartphones of some given model. The retail company applies a quality check by randomly selecting 100 smartphones from the batch, and, if 3 or more of these smartphones are found defected, the entire batch is rejected. Suppose a historical defect rate for this type of smartphones is p = 0.005. Derive (and compute) the probability that the batch is not rejected (a) using an exact approach with the Binomial distribution; (b) using an approximation with the Poisson distribution.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![[Discrete Random Variables] According to an agreement between a smartphone producer and a
retail company, the former delivers a large batch of smartphones of some given model. The retail
company applies a quality check by randomly selecting 100 smartphones from the batch, and, if 3
or more of these smartphones are found defected, the entire batch is rejected. Suppose a historical
defect rate for this type of smartphones is p = 0.005. Derive (and compute) the probability that
the batch is not rejected
(a) using an exact approach with the Binomial distribution;
(b) using an approximation with the Poisson distribution.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F163cf53f-c0ce-4d67-85c3-58ee5a13e2c6%2F351d8c52-8fca-4705-ab5c-4e80d2268001%2Fchbs5ct_processed.jpeg&w=3840&q=75)
Transcribed Image Text:[Discrete Random Variables] According to an agreement between a smartphone producer and a
retail company, the former delivers a large batch of smartphones of some given model. The retail
company applies a quality check by randomly selecting 100 smartphones from the batch, and, if 3
or more of these smartphones are found defected, the entire batch is rejected. Suppose a historical
defect rate for this type of smartphones is p = 0.005. Derive (and compute) the probability that
the batch is not rejected
(a) using an exact approach with the Binomial distribution;
(b) using an approximation with the Poisson distribution.
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