A secretary makes two error per page on the average. Wht is the probability that on the next page she makes. a) At least 3 errors? b) 6 to 8 errors?
We use Poisson's formula "p(m) = \\frac{{{\\lambda ^m}}}{{m!}}{e^{ - \\lambda }}" . In our case "\\lambda = 2" .
a) Let's find the probabilities that 0, 1 and 2 errors will be made:
"p(0) = \\frac{{{2^0}}}{{0!}}{e^{ - 2}} = {e^{ - 2}};\\,\\,p(1) = \\frac{{{2^1}}}{{1!}}{e^{ - 2}} = 2{e^{ - 2}};\\,p(2) = \\frac{{{2^2}}}{{2!}}{e^{ - 2}} = 2{e^{ - 2}}"
Then the probability that the secretary makes less than 3 errors is
"p(x < 3) = p(0) + p(1) + p(2) = 5{e^{ - 2}}"
Whence the wanted probability, as the probability of the opposite event, is
"p(x \\ge 3) = 1 - p(x < 3) = 1 - 5{e^{ - 2}} \\approx 0.323"
Answer: "p(x \\ge 3) \\approx 0.323"
b) Let's find the probabilities that 6, 7 and 8 errors will be made:
"p(6) = \\frac{{{2^6}}}{{6!}}{e^{ - 2}} = \\frac{4}{{45}}{e^{ - 2}};\\,\\,p(7) = \\frac{{{2^7}}}{{7!}}{e^{ - 2}} = \\frac{8}{{315}}{e^{ - 2}};\\,p(8) = \\frac{{{2^8}}}{{8!}}{e^{ - 2}} = \\frac{2}{{315}}{e^{ - 2}}"
Then wanted probability is
"p(6 \\le x \\le 8) = p(6) + p(7) + p(8) = \\frac{{38}}{{315}}{e^{ - 2}} \\approx 0.0163"
Answer: "p(6 \\le x \\le 8) \\approx 0.0163"
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