Suppose that when a transistor of a certain type is subjected to an accelerated life test, the lifetime X (in weeks)has a gamma distribution with mean 24 weeks and standard deviation 12 weeks. a. What is the probability that a transistor will last between 12 and 24 weeks? b. What is the probability that a transistor will last at most 24 weeks? Is the median of the lifetime distribution less than 24? Why or why not? c. What is the 99th percentile of the lifetime distribution? d. Suppose the test will actually be terminated after t weeks. What value of t is such that only .5% of all transistors would still be operating at termination?
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!
Suppose that when a transistor of a certain type is subjected to an accelerated life test, the lifetime X (in weeks)has a gamma distribution with mean 24 weeks and standard deviation 12 weeks.
a. What is the
b. What is the probability that a transistor will last at most 24 weeks? Is the
c. What is the 99th percentile of the lifetime distribution?
d. Suppose the test will actually be terminated after t weeks. What value of t is such that only .5% of all transistors would still be operating at termination?
Trending now
This is a popular solution!
Step by step
Solved in 5 steps