Problem #1. (a) (b) (a). Show that the following is a joint probability density function. In(x) ‚if0
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- 1. If the probability density function is given by f(x)= kx² (1-x²) = 0 Find (1) k, (11) 0sxs1 otherwise P(0The cumulative distribution function of the continuous uniform distribution between con- stants a and b is given by F(x) = P(X ≤ x) = x-a - a x b (a) The probability density function is f(x) = F(r). Find the form of f(x). (b) Find the derivative of f(x) for x = [a, b]. Is f(x) decreasing, increasing or flat in this region? (c) Does f(x) have a single maximum in the region [a,b]? If so, what is it, or if not, why not?6. Roughly, speaking, we can use probability density functions to model the likelihood of an event occurring. Formally, a probability density function on (-x, o0) is a function f such that f(r) 20 and (2) = = 1. (a) Determine which of the following functions are probability density functions on the (-x0, 00). fr-1 00 (b) We can also use probability density functions to find the erpected value of the outcomes of the event - if we repeated a probability experiment many times, the expected value will equal the average of the outcomes of the experiment. (e.g. rf(x) dr yields the expected value for a density f(r) with domain on the real numbers.) Find the expected value for one of the valid probability densities above.1. The length of time required by students to complete a one-hour exam is a random variable, X, with the probability density function given by f(x) = [cx²+x, 0≤x≤1 10, elsewhere (a) Find c. (b) Find F(x) (c) Use F(x) to find the probability that randomly selected student will finish in less than 45 minutes. (d) Find the probability that randomly selected student needs at least 15 minutes and will finish in less than 30 minutes. (e) Find μ and o.C, D, and ESuppose that X and Y have a joint probability density 7e-2-7y if x, y ≥ 0 otherwise (a) Verify that fx.y is indeed a probability density function. function given by fx.x (x, y)Q 3. (a) If the joint probability density function of X and Y is given by | 24:ry for 0 0.A continuous random variable, X, has the following probability density function. k cos for 0sxs1 f(x)=- for all other values of x (a) Show that k = Find p( x sxs). (b) (c) Find the median of X.[1] The probability density function of a random variable X is SC(x + 4), -4 4.