The number of customers arriving per hour at a certain automobile service facility is assumed to follow a Poisson distribution with mean š = 7. Compute the probability that more than 10 customers will arrive in a 2-hour period.
X2ā¼Poiss(2Ī»)=Poiss(14)P(X2>10)=1āP(X2⩽10)==1āān=010Ī»neāĪ»n!==1āeā14(1+141!+1422!+1433!+1444!+1455!+1466!+1477!+1488!+1499!+141010!)=0.824319X_2\sim Poiss\left( 2\lambda \right) =Poiss\left( 14 \right) \\P\left( X_2>10 \right) =1-P\left( X_2\leqslant 10 \right) =\\=1-\sum_{n=0}^{10}{\frac{\lambda ^ne^{-\lambda}}{n!}}=\\=1-e^{-14}\left( 1+\frac{14}{1!}+\frac{14^2}{2!}+\frac{14^3}{3!}+\frac{14^4}{4!}+\frac{14^5}{5!}+\frac{14^6}{6!}+\frac{14^7}{7!}+\frac{14^8}{8!}+\frac{14^9}{9!}+\frac{14^{10}}{10!} \right) =0.824319X2āā¼Poiss(2Ī»)=Poiss(14)P(X2ā>10)=1āP(X2ā⩽10)==1āān=010ān!Ī»neāĪ»ā==1āeā14(1+1!14ā+2!142ā+3!143ā+4!144ā+5!145ā+6!146ā+7!147ā+8!148ā+9!149ā+10!1410ā)=0.824319
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