An investment firm offers its customers municipal bonds that mature after varying numbers of years. Given that the cumulative distribution function of T, the number of years to maturity for a randomly selected bond, is * - o < t<1 1/28, 4/28, 0, 1st< 3 3

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Q: 2. An investment firm offers its customers municipal bonds that mature after varying numbers of…

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Q: An investment firm offers its customers municipal bonds that mature after varying numbers of years.…

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Q: An investment firm offers its customers municipal bonds that mature after varying numbers of years.…

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Q: An investment firm offers its customers municipal bonds that mature after varying numbers of years.…

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Q: 4. An investment firm offers its customers municipal bonds that mature after varying numbers of…

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Q: a) A company offers its clients bonds that mature after different numbers of years. The cumulative…

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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!