Consider a random variable Y with density function given by f(y) = ke¬v³ /20, –∞ < y < oo. a) Find k. b) Find E(Y) and V (Y). c) Find P(2

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A: Problem Overview:We're given two random variables, X and Y, with a joint density function \( f(x, y)…

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Q: 3. Determine the constant a so that f(x) is a valid density function. - f(x) = {a(3 — x²), a) 0.3333…

A: Ans#- Given, f(x) is valid density function           f(x) = a(3 - x2)-1 ≤x≤10otherwise…

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A: GIVEN DATA : Joint probability density function fy1,y2=e-y1 0≤y2≤y1≤∞0 elsewhere TO FIND : (a).…

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Q: 2. The random variables X and Y have joint density p(x, y) = = {cry Jcry(1-x) if 0<x< 1, 0<y<1,…

A: Since you have posted a question with multiple subparts, we will solve first three subparts for you.…

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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!