A bakery is staffed by two clerks, each of them capable of handling an average of 30 customers an hour, with the actual service times exponentially distributed.Customers arrive at the bakery according to a possion process, at a mean rate of 40 per hour. Determine (a) the fraction of time a given clerk is idle , and (b) the probability that there are more than two customers awaiting service at any given time.
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!
A bakery is staffed by two clerks, each of them capable of handling an average of 30 customers an hour, with the actual service times exponentially distributed.Customers arrive at the bakery according to a possion process, at a mean rate of 40 per hour. Determine (a) the fraction of time a given clerk is idle , and (b) the
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