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
The Poisson distribution is
P(X=x)=e−λλxx!P\left(X=x\right)=\frac{e^{-\lambda }\lambda ^x}{x!}P(X=x)=x!e−λλx
Let xxx denote the non - defective fuse
P=1−0.045=0.955P=1-0.045=0.955P=1−0.045=0.955
n=100n=100n=100
mean=λ=np=100×0.955=95.5mean=\lambda =np=100\times0.955=95.5mean=λ=np=100×0.955=95.5
P(atmost 3 non−defective fuses)=∑x=03e−95.595.5xx!P\left(atmost\:3\:non-defective\:fuses\right)= \sum_{x=0}^3 \frac{e^{-95.5}95.5^x}{x!}P(atmost3non−defectivefuses)=∑x=03x!e−95.595.5x
P(atmost 3 non−defective fuses)=P\left(atmost\:3\:non-defective\:fuses\right)=P(atmost3non−defectivefuses)= 0.015280.015280.01528
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