3)
a)
Here
We know that the probability mass function for Poisson distribution is given by:
b)
Now,
c)
d)
k=0 Q3 Suppose X has Poisson(1) distrubution. Calculate the following (a) Determine P(X = k) for...
1-Determine the third quartile Q3 for the binomial distribution: X~Bi(n=20,p=0.25). 2-Poisson distribution: X~Poisson(lambda=4.5). Evaluate Pr(X<11) and round to three decimal places. 3-Assume that X is normally distributed with E(X)=1 and Var(X)=2. Determine the third quartile Q3 and round to three decimal places.
1- Determine the first quartile Q1 for the binomial distribution: X~Bi(n=20,p=0.25) 2- Poisson distribution: X~Poisson(lambda=6). Evaluate Pr(X<9) and round to three decimal places. 3-Assume that X is normally distributed with E(X)=1 and Var(X)=2. Evaluate Pr(0<X<1) and round to three decimal places
Q3 (Prove that P∞ k=1 1/kr < ∞ if r > 1) . Let f : (0,∞) → R be a twice differentiable function with f ''(x) ≥ 0 for all x ∈ (0,∞). (a) Show that f '(k) ≤ f(k + 1) − f(k) ≤ f '(k + 1) for all k ∈ N. (b) Use (a), show that Xn−1 k=1 f '(k) ≤ f(n) − f(1) ≤ Xn k=2 f '(k). (c) Let r > 1. By finding...
is independent of X, and e Problem 3 Suppose X N(0, 1 -2) -1 <p< 1. (1) Explain that the conditional distribution [Y|X = x] ~N(px, 1 - p2) (2) Calculate the joint density f(x, y) (3) Calculate E(Y) and Var(Y) (4) Calculate Cov(X, Y) N(0, 1), and Y = pX + €, where
(5) Fixm 2 1, an integer, and suppose P~ Uniform([0, 1]) and N ~Binomial(m, P) (a) Determine E(Xk(NP) where χκ (n), k-0, 1, 2, . . . , are defined as follows: 1 if n-k 0 otherwise (b) Determine E(Xk(N)h(N)) for a general function h : R R (c) Determine E(PIN) Warning: E(PN) is not N/m as you might be tempted to guess. Hint: Use the law of total probability together with the following result which you showed (in greater...
Show all work! Thank you! Sk(x+y) 0<x<1, 0<y</ 14. Determine k, so that fx.y(x, y)= otherwise is a joint pdf. 10 15. Determine k, so that fxy(x,y)= kry 0<x<1, 0<y<1. 6 otherwise is a joint pdf. k(xy?) 0<x<1, 0<y<1. is a joint pdf. Determine k, so that fx.x(x,y)= 1 otherwise 17. Determine k, so that fx.y(x,y)= kr 0<x<y<1 O otherwise is a joint pdf. k(x + y) 0<x< y<1 18. Determine k, so that fx. (x,y)= 1 0 otherwise is...
1. Let {x, t,f 0) and {Yǐ.12 0) be independent Poisson processes,with rates λ and 2A, respectively. Obtain the conditionafdistributiono) Moreover, find EX Y X2t t given Yt-n, n = 1,2. 2, (a) Let T be an exponential random variable with parameter θ. For 12 0, compute (b) When Amelia walks from home to work, she has to cross the street at a certain point. Amelia needs a gap of a (units of time) in the traffic to cross the...
Show all work! Thank you! kxk-1 4.34 Given the pdf for X is f(x)= 10 0<x<1 otherwise determine E[X] and Var[X]. 1 0<x<1 4.35 Given the pdf for X is f(x)=x. determine E[X] and Var[X]. 10 otherwise' Sections 4.5-4.8 A<x<B 4.36 Given a random variable with pdf f(x)= B-A , determine the MGF for this random variable. 10 otherwise so x50 4.37 Given a random variable with pdf f(x)= betx 0<x , determine the MGF for this random variable. '...
81. Consider the function g(x, y) given by, 1 1.52.53 11/4 0 0 0 2 0 1/8 0 0 y 3 0 1/4 0 0 4 0 0 1/4 0 5 00 0 1/8 and complete / determine the following: (a) Show that g(x, y) satisfies the properties of a joint pmf. (See Table in ?6.0.1.) (b) P(X < 2.5,Y < 3) (c) P(X < 2.5) (d) P(Y < 3) (e) P(X> 1.8, Y> 4.7) (f) E[X], EY], Var(X), Var(Y)...
1. Suppose that N = {1,2,3} and let X be a random variable such that P(X = 1), P(X = 2) and P(X = 3) are all 1/3. So the probability mass function for X is p(1) = P(2) = P(3) = 1/3. Then, for each n e N= {1,2,...}, we have 3 E[X"] - Ý k"p(k) 1" + 2 + 3" 3 (1) k=1 Calculate E[X], E[X2] and var(X).