On average, six people per hour conduct transactions at a special services desk in a commercial bank. Assuming that the arrival of such people is independently distributed and equally likely throughout the period of concern, what is the probability that more than 12 people will wish to conduct transactions at the special services desk during a particular hour?
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!
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- On average, six people per hour conduct transactions at a special services desk in a commercial bank. Assuming that the arrival of such people is independently distributed and equally likely throughout the period of concern, what is the
probability that more than 12 people will wish to conduct transactions at the special services desk during a particular hour?
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