$\backslash$table$[[$Servers$,1,2,3],[$RHO$,0\mathrm{.}60,0\mathrm{.}30,0\mathrm{.}20],[$Probability of$,,,],[0,0\mathrm{.}40,0\mathrm{.}49,0\mathrm{.}51],[1,0\mathrm{.}24,0\mathrm{.}33,0\mathrm{.}34],[2,0\mathrm{.}14,0\mathrm{.}11,0\mathrm{.}10],[3,0\mathrm{.}09,0\mathrm{.}04,0\mathrm{.}02],[4,0\mathrm{.}05,0\mathrm{.}014,0\mathrm{.}011],[5,0\mathrm{.}03,0\mathrm{.}004,0\mathrm{.}001],[$In the system,,,$],[,$CUSTOMERS,CUSTOMERS,CUSTOMERS$],[$N $($s$),1\mathrm{.}50,0\mathrm{.}74,0\mathrm{.}67],[,0\mathrm{.}90,0\mathrm{.}08,0\mathrm{.}01],[$T $($s$),$TIME $($Minutes$),$TIME $($Minutes$),$TIME $($Minutes$)],[(1),10\mathrm{.}000,4\mathrm{.}83,4\mathrm{.}36],[,6\mathrm{.}000,0\mathrm{.}53,0\mathrm{.}06]]$

Using the chart to answer the following question. in a TWO$-$server model, what's the probability that a customer that is just arriving will be served immediately?

$0\mathrm{.}86$

$0\mathrm{.}82$

$0\mathrm{.}14$

$0\mathrm{.}95$

$0\mathrm{.}05$

$0\mathrm{.}51$