3. The number of loaves of rye bread left on the shelf of a local bakery at closing (denoted by the rv X) varies from day to day. Past records show that the cdf of X is as shown in the following table. 2 3 4 56 |P(X < x) | 0.20 0.45 | 0.65 | 0.80 0.90 | 0.98 | 1 | X| 0 1| (a) Determine the pmf of X. (b) Find the probability that there will be at least 3 loaves left over at the end of any given day. (c) Find the mean number of loaves of rye left on the shelf at closing.

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Q: 0.15 0.27 0.76 0.89 1.07 2.11 f(x) 0.1680 0.2974 0.7175 0.7918 0.8698 0.9972

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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!