Math, asked by prakharsaumya, 1 year ago

2. It has been established that the number of defective stereos produced daily at a certain plant is Poisson distributed with mean 4. Over a 2 days span, what is the probability that the number of defective stereos does not exceed 3?

Answers

Answered by ayushrana2006
4
2/3 if answer is correct but I think I can do it
Answered by aquialaska
19

Answer:

0.43347

Step-by-step explanation:

Let X be the random variable representing number of defective stereos.

The number of defective stereos produced daily at a certain plant follows Poisson  distribution with mean = 4

\lambda = 4

P(X =x) =  \frac{e^{-\lambda}(\lambda)^{x}}{x!}

We need to find, P(X ≤ 3) = P(X=0) + P(X=1) +P(X=2)+P(X=3)

                                         = \frac{e^{-4}(4)^{0}}{0!} + \frac{e^{-4}(4)^{1}}{1!} + \frac{e^{-4}(4)^{2}}{2!} + \frac{e^{-4}(4)^{3}}{3!}

                                        = e^{-4}[1+4+8+\frac{32}{3}]

                                       = e^{-4}\frac{71}{3}

                                       = 0.43347

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