Suppose the distribution of Y, conditional on X, is n(x, x²) and that the marginal distribution of X is uniform(0, 1). (a) Find EY, Var Y, and Cov (X, Y). (b) Prove that Y/X and X are independent.
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- Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data are at or below for respiratory rates in breath per minute during the first 3 years of infancy are given by y=101.82411-0.0125995x+0.00013401x2 for awake infants and y=101.72858-0.0139928x+0.00017646x2 for sleeping infants, where x is the age in months. Source: Pediatrics. a. What is the domain for each function? b. For each respiratory rate, is the rate decreasing or increasing over the first 3 years of life? Hint: Is the graph of the quadratic in the exponent opening upward or downward? Where is the vertex? c. Verify your answer to part b using a graphing calculator. d. For a 1- year-old infant in the 95 th percentile, how much higher is the walking respiratory rate then the sleeping respiratory rate? e. f.Find the average rates of change of f(x)=x2+2x (a) from x1=3 to x2=2 and (b) from x1=2 to x2=0.Let X and Y have the joint pdf f(x,y)= x+y , 0<=x<=1, 0<=y<=1. Find the marginal fx(x) and fy(y). Show if f(x,y) dependent. Compute mean(x), mean(y), variance (x) and variance(y)
- (47) Let X z b(8,-) find E(5+6x) and distribution function.Suppose the distribution of Y, conditional on X = x, is normal N(x,x²) and that the marginal distribution of X is uniform U(0,1). Find E(Y), Var(Y) and Cov(X, Y)Let x and y be joint continuous random variable with joint pdf f XY (x, y) = { cx+ 1, x, y≥ 0, x+y< 1 0, otherwise 1. Find the constant c. 2. Find the marginal PDF’S fX (x) and fY (y) 3. Find P(Y<2X^2 )
- A fair coin is flipped 3 times. Let X be the number of heads in the 3 tosses, and Y be the absolute value of difference between heads and tailes. Find 1) the J.pmf for (X,Y); (2) the marginal pmf for X alone and Y alone, respectively.Obtain regression curve of Y on X for the following distribution: y y ƒ(x, y) = (1 + 6 exp(- / +)* x)² 1 x ; x, y 20y 2 4 1 ГО.1 0.157 P(X, Y) = x3 0.2 0.3 %3D 5 Lo.1 0.15] a) Evaluate the marginal distribution of X and Y. b) Find P(Y/X) and P(X/Y). c) Find P(Y=2/X=3).
- Suppose that X ~ and variance 1, i.e., (Y X = x) ~ N(2x, 1). Find the marginal pdf of Y. N(0,1). Then, under the condition X = x for some r E R, the distribution of Y is normal with mean 2x6. (Sec. 5.1) Two headlights of a car have the following joint pdf for their useful lifetimes X (the left headlight) and Y (the right headlight) ze(y+1) for r> 0.y > 0 f(x, y) 0 otherwise (a) What is the probability that the lifetime X of the left headlight exceeds 2.8? (b) Find the marginal pdfs of X and Y. Are the two lifetimes independent? Justify your answer (c) What is the probability that the lifetime of at least one headlight does not exceed 2.8?3. If X and Y are jointly continuous random variables with joint PDF fx.y (r, y) = exp(-y)I0.v)(x)I(0,0) (y) (a) Find the joint MGF of X and Y (b) Find the marginal MGFS of X and Y (c) Identify the marginal distribution of X and Y (d) Find the E(XY) using the joint MGF of X and Y