Nowadays, a fast-food restaurant operates both a drive-through facility and a walk-in facility in Turkey. On a randomly selected day, let X and Y, respectively, be the proportions of the time that the drive-through and walk-in facilities are in use, and suppose that the joint density function of these random variables is as shown below. Complete parts (a) through (c). f(x.y) = { 13 (6x + 7y), Osxs1, 0sys1 0, elsewhere (a) Find the marginal density of X. Select the correct choice below and fill in the answer box to complete your choice. O A. h(y) = , for 0sys1 O B. 9(x) = , for 0sxs1 (b) Find the marginal density of Y. Select the correct choice below and fill in the answer box to complete your choice. O A. h(y) = , for Osys1 O B. g(x) = for 0sxs1 (c) Find the probability that the drive-through facility is busy less than one-third of the time. The probability is: (Type an integer or a simplified fraction.)
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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