F(,r,), that is, W has an F distribution with 1) (a) How to define a r.v....
. Let W and V be independent random variables where W has a normal distribution with mean equal to Q and variance equal to , and V has açhi-square distribution with r degrees of freedom. V7 then what is the distribution of T A. t-distribution with r degrees of freedom B. t-distribution withr1 degtees of freedom C. F-distribution with 1 and r degrees of freedom D. F-distribution with r and 1 degrees of freedom E. F-distribution with r and r...
5. Let A = P(R). Define f : R → A by the formula f(x) = {y E RIy2 < x). (a) Find f(2). (b) Is f injective, surjective, both (bijective), or neither? Z given by f(u)n+l, ifn is even n - 3, if n is odd 6. Consider the function f : Z → Z given by f(n) = (a) Is f injective? Prove your answer. (b) Is f surjective? Prove your answer
Define the cumulative distribution function F(t) oft by F(t) = P(W <t). Shade the region consisting of each point (x, y) in which x > 0, and F(X) < y < 1. Compute the area of the shaded region. Let X be binomial with parameters n = 10 and p = 0.5. Compute P(X = 5). Compute P(3 sX s 6). Compute P(X s 3). Submit You have used 0 of 3 attempts The annual income of graduates from college...
Let random variables X with 11. Which is false for x ? m.gf. M(f)-(1-2nas. (A) X has a distribution with 5 degrees of freedom (B) X has a garnma distribution with α-2.5 and 2. (C) P(x S 1.610)-0.1 (D) P(x>9.236) 0.05 (E) P(1.610< X< 9.236)-0.8 Find the integral of the following questions appropriate distributions (e.g., p.d.f. of exponential, gamma, using the property of ot n distributions). No integration by part technique is Part ter epontal property of 12. What is...
Problem 1 (11 pts] The independent r.v.'s X and Y have p.d.f. f(t) = et, t>0. Compute the probability: P(X+Y > 2). Hint: Use independence of X and Y in order to find their joint p.d.f., fx,y, and then use the diagram below to compute the probability: P(X+Y < 2). y 2 r+y = 2 y . ! 2 0 2-y Note: If X and Y represent the lifetimes of 2 identical equipment of expected lifetime 1 time unit, then...
Suppose we toss a fair coin every second so the first toss is at time t1. Define a random variable Y (the "waiting time for the first head ") by Prove that Yi satisfies (Yİ is said to have geometric distribution with parameter p. (Yi-n) = (the first head occurs on the n-th toss). FOUR STEPS TO THE SOLUTION (1) Express the event Yǐ > n in terms of , where , is the number of heads after n tosses...
explan the answer 10: A certain continuous distribution has cumulative distribution function (CDF) given by F(r) 0, <0 where θ is an unknown parameter, θ > 0. (i) Find (a) the p.d.f., (b) the mean and (e) the variance of this distribution. (ii) Suppose that X (Xi, X2, Xn) is a random sample from this distribu- tion and let Y max(Xi, XXn). Find the CDF and p.d.f. of Y. Hence find the value of a for which EloY)
Let (1) be a non-periodic function. We define its Fourier Transform, F(w), as follows. F@) = f()e-jør det The inversion formula, by which f(t) is recovered from F(o) is s(= zu ſr(@)ejo do The fourier transform relationship is, as usual, denoted by f(t) + F(o). Now, suppose we are given a function, f(t) with period T. 610) - Žence froe die 1. Prove that if fo + F(0) then a) f(-1) + F(0) b) f*(t) + F(-6)
5. Let f : R -R be a differentiable function, and suppose that there is a constant A < 1 such that If,(t)| < A for all real t. Let xo E R, and define a sequence fan] by 2Znt31(za),n=0,1,2 Prove that the sequence {xn) is convergent, and that its limit is the unique fixed point of f. 5. Let f : R -R be a differentiable function, and suppose that there is a constant A
8.) (minimum along lines does not mean minimum) Define f: R2 and, if (a, y)0, R by f(0,0) (a) Prove that f is continuous at (0,0). Hint: show that 4r4y2 < (z4 + y2)2. (b) Let & be an arbitrary line through the origin. Prove that the restriction of f [0, π) and t E R. (c) Show that f does not have a local minimum at (0,0). Hint: consider f(1,12). to ( has a strict local minimum at (0,0)....