(a)
The probability of instance of Klez is 0.5145
Let X be the number of instances of Klez in 20 malicious software instances. Then X ~ Binomial(n = 20, p = 0.5145)
Using binomial distribution, the probability that at least one instance is Klez = P(X 1)
= 1 - P(X < 1) = 1 - P(X = 0)
= 1 - 20C0 * 0.51450 * (1 - 0.5145)20-0
= 1 - 0.485520
= 0.9999995
1 (Rounding to 4 decimal places)
(b)
Using binomial distribution, the probability that five or more instances is Klez = P(X 5)
= 1 - P(X < 5) = 1 - [P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4)]
= 1 - [20C0 * 0.51450 * (1 - 0.5145)20-0 + 20C1 * 0.51451 * (1 - 0.5145)20-1 + 20C2 * 0.51452 * (1 - 0.5145)20-2 + 20C3 * 0.51453 * (1 - 0.5145)20-3 + 20C4 * 0.51454 * (1 - 0.5145)20-4 ]
= 1 - [0.485520 + 20 * 0.5145 * 0.485519 + 190 * 0.51452 * 0.485518 + 1140 * 0.51453 * 0.485517 + 4845 * 0.51454 * 0.485516 ]
= 1 - (0.004077882)
= 0.9959
(c)
Mean of number of "Klez" instances = np = 20 * 0.5145 = 10.29
(d)
Standard deviation of number of "Klez" instances = =
= 2.235128
2.24 (Rounded to 2 decimal places)
An article in Information Security Technical Report ["Malicious Software-Past, Present and Future" (2004, Vol. 9, pp....
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