7. A light sensor uses a photodetector whose output is modeled as a Poisson random variable X, with mean A. The sensor triggers an alarm if X> 15. If λ=10, find the probability that the alarm is triggered.
7. A light sensor uses a photodetector whose output is modeled as a Poisson random variable X, with mean A. The sensor triggers an alarm if X> 15. If λ=10, find the probability that the alarm is triggered.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
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7. Help please
![**Problem Statement:**
A light sensor uses a photodetector whose output is modeled as a Poisson random variable \(X\), with mean \(\lambda\). The sensor triggers an alarm if \(X > 15\). If \(\lambda = 10\), find the probability that the alarm is triggered.
**Explanation:**
To solve this problem, you'll need to use the properties of the Poisson distribution. The Poisson probability mass function is given by:
\[ P(X = k) = \frac{e^{-\lambda} \lambda^k}{k!} \]
where \(\lambda = 10\) and \(k\) is the number of occurrences.
However, we need the probability that \(X > 15\), which is:
\[ P(X > 15) = 1 - P(X \leq 15) \]
This calculation involves determining the cumulative probability from \(X = 0\) to \(X = 15\) and subtracting it from 1 to find our desired probability.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F80864b91-d3a3-4910-ac0e-8d4cb607fd82%2Fe4799c5d-70a4-45e3-9250-d647cfb53163%2Fpvchfqp_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Problem Statement:**
A light sensor uses a photodetector whose output is modeled as a Poisson random variable \(X\), with mean \(\lambda\). The sensor triggers an alarm if \(X > 15\). If \(\lambda = 10\), find the probability that the alarm is triggered.
**Explanation:**
To solve this problem, you'll need to use the properties of the Poisson distribution. The Poisson probability mass function is given by:
\[ P(X = k) = \frac{e^{-\lambda} \lambda^k}{k!} \]
where \(\lambda = 10\) and \(k\) is the number of occurrences.
However, we need the probability that \(X > 15\), which is:
\[ P(X > 15) = 1 - P(X \leq 15) \]
This calculation involves determining the cumulative probability from \(X = 0\) to \(X = 15\) and subtracting it from 1 to find our desired probability.
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