Cars on a highway passes at an arrival rate of 1/15. If the interarrival time is an exponential random variable. The wombat survives can be thought of in two ways. (a). Find the Probability that a wombat crossing the road in 15 seconds? (b). Find the Probability of no car in 15 seconds? (c). Determine the inter arrival time, which is greater than 20 seconds?
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!
Cars on a highway passes at an arrival rate of 1/15. If the interarrival time is an exponential random variable. The wombat survives can be thought of in two ways.
(a). Find the
(b). Find the Probability of no car in 15 seconds?
(c). Determine the inter arrival time, which is greater than 20 seconds?
(d). If a second wombat starts walking at time, t=0 and is even slower. It takes 24seconds to cross the road and two cars to kill him. Determine the Probabilities, when two wombats survives and when only one wombat survives?
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