Let X = the random variable denoting the number of errors due to the bug occurring in a minute
The values of X being 0, 1, 2, ..... "\\infty"
The mean number of errors due to the bug occurring in a minute = 0.0001
Then, X ~ Poisson("\\lambda" = 0.0001) [since, for Poisson distribution parameter = mean]
Then the p.m.f. of X is given by,
P(X = x) = "\\begin{cases}\n \\frac{e^{-0.0001}.(0.0001)^x}{x!} &\\text{for } x=0,1,2,...\\infty \\\\\n 0 &\\text{otherwise }\n\\end{cases}"
Now, the probability that no error will occur in 1 minute
= P(X = 0)
= "\\frac{e^{-0.0001}.(0.0001)^0}{0!}"
= e-0.0001
"\\therefore" The probability that no error will occur in 20 minutes
= "\\displaystyle\\prod_{i=1}^{20}" (The probability that no error will occur in ith minute)
= [P(X = 0)]20
= [e-0.0001]20
= e-0.002
= 0.998 (rounded to 3 decimal places)
Answer: The probability that no error will occur in 20 minutes is 0.998.
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