Let Y have density function f(y) C = (a) Find the value of c that makes f(y) a density function. Scye-oy, 0≤ y ≤ ∞, elsewhere. 0, (b) Give the mean and variance for Y. E(Y) V(Y) = = (c) Give the moment-generating function for Y. m(t) = t< 9
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- Plant Growth Researchers have found that the probability P that a plant will grow to radius R can be described by the differential equation dPdR=4DRP2 where D is the density of the plants in an area. Source: Ecology. Given the initial condition P(0)=1, find a formula for P in term of R.Y has a density function + y, Osys1, Ry) = {7 0, elsewhere. Find the mean and variance of Y. (Round your answers to four decimal places.) E(Y) = V(Y) =asysb, If the density function of Y is f(y)={ b-a' 0, Otherwise. then the variance of Y is equal to Select one: (b-a) a. 12 (a+b? Ob. 12 a+b
- Q1) Discrete joint variables X and Y with probability density f(x,y) (pdf) are given in this table. Find: 1) The Covariance Cov(X,Y)? (Cov(X,Y) = MxY-MxMY) 2) The correlation (pxy) between X and Y where Pxy = Cov(X,Y) PXPY Y 3 fx(x) f(x,y) 1 2 1 1/4 1/4 0 X 2 0 1/4 1/4 fy(y) Note that 2 n=2 n=3 Px² = Σn²±²x² f(x, y) - μ and py² = Σ3y² f(x, y) – µ Zk=0Let X, Y have the joint pdf fxx = { for x? + y² 0, y 2 0 cx 0. O.W. where c is some constant. Question part 6: (x-): What is Pr X = O 12/15 O 1/4 O 2/3 Question part 7: Y What is Pr ( X > 2 2 (두-시루 Hint: calculate fx\y (x|y) first, then integrate it over the correct region to calculate the conditional probability. I strongly suggest you draw a picture to figure out the support of X.(b) (i) Briefly explain how moment generating function of a random variable, y may be used to Generate its moments. (ii) Let the random variable, y have probability density function S(t) = kye-1/2y y20 , elsewhere Where k> 0 is a constant. Find the moment generating function of y and use it to evaluate the mean and variance of y leaving your results in terms of k.
- On a college entrance exam taken by the entire freshman class, the distribution of the scores was normal and modeled by the Gaussian function (x) = 0.25e-(x-72)² where x represents the test score in %(0 ≤ x≤ 100). According to this model, what is the maximum density for the function ? 5.098 88°F T-storms 0.72 A 0.2271 0.70 0.25 2 W S F3 X #M 3 E F4 D 64 $ 4 C F5 R F 100 % 5 F6 Search T B G 6 F7 A Y B F8 & 7 H F9 N * 00 8 G F10 ( 9 M K O F11 F12 L P Prt Sc Insert Backspace i 2:35 PM 6/9/2023 Enter Home Aa red coin as a 1 on one side and a 3 on the other. a blue coin has a 0 and 1. let X represent the total of both coins ,Y= number flipped on the blue coin. find(x,y) draw the pdf find fx(X) and fy(Y)Example: The Gamma Distribution Suppose X ~ T(a, B), then M(t) = dx BaT(a) 22 Now we do a little high school algebra. Define & = Then one may write 1-Bt" Equation (22) as: M(t) = ()ª / (23) dx One recognizes the integrand of Equation (23) as a r(a, 6) density, hence 8. M(t) = (Gr"(1) = (1 - AY• (24) (1 – Bt)a Exercise 5. Verify the algebra leading from Equation (22) to Equation (23).
- 24. Consider a distribution with density on the interval [0, 2]. Let the probability density function (pdf) for this distribution be the following: fy(u) = % on [0, 2] 2 (i) Draw/plot the pdf fy(y) vs. y for the interval [0, 2]. (ii) Determine the Cumulative Distribution Function (CDF), F, (y). (iii) Draw/plot the CDF F,(y) vs y for the interval [0, 2]. (iv) Determine the expected value of the Random Variable (RV) y, i.e., E [y].Suppose that X and Y have a joint probability density function given by ce-3z=5y if a, y 20 fx.y(T, y) = otherwise Find the marginal probability density function fx and state the name of the distribution of X.3. Let X be a continuous random variable. Let f(x) = c(x − 1)³ and Sx = [1,3]. Hint: (x - 1)³ = x³ + 3x − 3x² - 1 (a) What value of c will make f(x) a valid density? (b) What is P(X = 2)? (c) Find E(X). (d) What is P(1 < X < 2)?