Question #215952

A company manufactures bulbs. The probability of getting a defective bulb is 0.045. A sample of 100 bulbs were selected. Use Poisson approximation to binomial distribution to find the probability of finding at most 3 non-defective bulbs


1
Expert's answer
2021-07-16T01:47:23-0400

The Poisson distribution is

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

Let xx denote the non - defective fuse

P=10.045=0.955P=1-0.045=0.955

n=100n=100

mean=λ=np=100×0.955=95.5mean=\lambda =np=100\times0.955=95.5

P(atmost3nondefectivefuses)=x=03e95.595.5xx!P\left(atmost\:3\:non-defective\:fuses\right)= \sum_{x=0}^3 \frac{e^{-95.5}95.5^x}{x!}

P(atmost3nondefectivefuses)=P\left(atmost\:3\:non-defective\:fuses\right)= 0.015280.01528


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