A company manufactures bulbs. The probability of getting a defective bulb is 0.055. 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.
Poisson approximation:λ=np=100⋅0.055=5.5P(X⩽3)=P(X=0)+P(X=1)+P(X=2)+P(X=3)==∑i=035.5ie−5.5i!=e−5.5(10!+5.51!+5.522!+5.533!)=0.201699Poisson\,\,approximation:\\\lambda =np=100\cdot 0.055=5.5\\P\left( X\leqslant 3 \right) =P\left( X=0 \right) +P\left( X=1 \right) +P\left( X=2 \right) +P\left( X=3 \right) =\\=\sum_{i=0}^3{\frac{5.5^ie^{-5.5}}{i!}}=e^{-5.5}\left( \frac{1}{0!}+\frac{5.5}{1!}+\frac{5.5^2}{2!}+\frac{5.5^3}{3!} \right) =0.201699Poissonapproximation:λ=np=100⋅0.055=5.5P(X⩽3)=P(X=0)+P(X=1)+P(X=2)+P(X=3)==∑i=03i!5.5ie−5.5=e−5.5(0!1+1!5.5+2!5.52+3!5.53)=0.201699
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