Let "X" be the number of wells drilled until the first first strike of oil.
It is reasonable to assume that "X" has a negative binomial distribution.
Given "p=0.2, r=1, x=3-1=2"
(a) The probability that the first strike comes on the third well drilled is
(b)
1. The experiment consists of a sequence of independent trials.
2. Each trial can result in either a success (S) or a failure (F).
3. The probability of success is constant from trial to trial, so "P(S \\ on \\ trial \\ i)=p" for "i=1,2,..."
4. The experiment continues (trials are performed) until a total of "r" successes have been observed, where "r" is a specified positive integer.
26. Assume that customers arrival has Poisson distribution with "\\lambda=2."
Let "P_k=" the number of arrivals during the given interval.
Let "\\lambda_t" be arrival rate during t minutes, "\\lambda_t=2\\cdot t"
(a) at most 4 will arrive at any given time
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