There are two competing designs for a certain semi- conductor circuit. The lifetime of the first (in hours) is exponentially distributed with A = 104, and the lifetime of the second is lognormally distributed with µ = 6 and o² = 5.4. %3D a. Use a simulated sample of size 10,000 to estimate the probability that a circuit with the first design lasts longer than one with the second design. b. Estimate the probability that a circuit with the first design lasts more than twice as long as one with the second design.
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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