Suppose that the longevity of a light bulb is exponential with a mean lifetime of eight years. Find the probability that a light bulb lasts longer than five years. 0.337 B. 0.216 C. 0.458 D. 0.535 E. 0.621 Find the probability that a light bulb lasts between six and ten years. 0.154 B. 0.186 C. 0.263 D. 0.451 E. 0.337 Assume that a randomly light bulb is chosen. Find the probability that this light bulb will last EXACTLY two years. 0.039 B. 0.027 C. 0.014 D. 0 E. 0.086
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 the longevity of a light bulb is exponential with a mean lifetime of eight years.
- Find the probability that a light bulb lasts longer than five years.
- 0.337 B. 0.216 C. 0.458 D. 0.535 E. 0.621
- Find the probability that a light bulb lasts between six and ten years.
- 0.154 B. 0.186 C. 0.263 D. 0.451 E. 0.337
- Assume that a randomly light bulb is chosen. Find the probability that this light bulb will last EXACTLY two years.
- 0.039 B. 0.027 C. 0.014 D. 0 E. 0.086
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