Airline passengers arrive randomly and independently at the passenger- screening facility at major international airport follows a Poisson distribution with the mean arriving rate of 10 passenger per minute d. What is the probability of four arrivals in a 15-second period? What is the probability of at least two arrivals in 30- seconds? f. Compute the coefficient of variation associated with the arrival rate of 10 passengers per minute?
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
2. A) Airline passengers arrive randomly and independently at the passenger- screening facility at major international airport follows a Poisson distribution with the mean arriving rate of 10 passenger per minute d. What is the
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