I got wrong solutions few times, please don't answer it if you don't know the solution. Some tutors answer me in 2 lines. I need proper step by step solution according to the rules of question and Don't reject my question because my statistics and probability question is valid. 54: A contineens pondern Vapsiable x has off(x) = 3x²³ 05251you have to findSuen that up (x>a)and the it is: P(x) > b)let & be aRafion and b.The answer should be accurate accordingDures of the question. Apprx. anereto theis not acceptableAustion in statisties and probability:f(x)== 0.65anThe pandom Vaniable equation is!+Contineous prendom Variable withpdf.osast15x52ai-ax +39, 2

To solve the first question we necessarily required the right side probability......

3: A continueus ponderr Vapiable & has a pidif! f(x) = 3x²³ 05251 you have to find an and b. Suen that up (x>a) and the it is: P(x) >b) = 0.65 to the The answer should be accurate according Dures of the question. Apprx. amewe acceptable. Austion in statisties and probability. is not let & be a Raf: Contineous pondom Variable with The pandom vaniable equation is! f(x)= az osx st ai -9x +39, 2 + 1≤x≤2 else whebe. Please determine the Constant 9, also deternime of compute: P(x≤ 1-5) 06/08/2022 22:00

3: A continueus ponderr Vapiable & has a pidif! f(x) = 3x²³ 05251 you have to find an and b. Suen that up (x>a) and the it is: P(x) >b) = 0.65 to the The answer should be accurate according Dures of the question. Apprx. amewe acceptable. Austion in statisties and probability. is not let & be a Raf: Contineous pondom Variable with The pandom vaniable equation is! f(x)= az osx st ai -9x +39, 2 + 1≤x≤2 else whebe. Please determine the Constant 9, also deternime of compute: P(x≤ 1-5) 06/08/2022 22:00

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Let Xi be arandom sample from U(0,1)prove that Xn’ convarges in probability to 0.50
Let X1,X2,... be a sequence of identically distributed random variables with E|X1|<∞ and let Yn = n−1max1≤i≤n|Xi|. Show that limnE(Yn) = 0
If we know that the firm’s profit, X, is uniformly distributed between losing 0.5million dollars to profiting 0.5 million dollars,(a) What is the average?(b) What is the P(losing 0.2 million dollar < x < profiting 0.1 million dollar)?
Suppose the joint probability density of X and Y is fX,Y (x, y) = 3y 2 with 0 ≤ x ≤ 1 and 0 ≤ y ≤ 1 and zero everywhere else. 1. Compute E[X|Y = y]. 2. Compute E[X3 + X|X < .5]
Let Y be a continuous random variable. Let c be a constant. PROVE Var (Y) = E (Y2) - E (Y)2
they take samples of 4 fireworks for quality co from and examine them for defects. let X be the number of defective fireworks in the sample of 4.
You consider investing £800 in stocks of the company X for a certain period. There is a possibility for X to merge with Y, in which case you expect your investment to appreciate £300, otherwise you expect it to depreciate £200. Also, rather than investing, you can choose to keep your £800. By using a utility function U(x)=x−−√, and by defining pthe probability that X merges with Y, what is the condition that p must satisfy for your investment to be worthwhile (rounded to two decimal places)?
The probability that Paul’s train to work is late on any day is 0.15, independently of other days. (i) The number of days on which Paul’s on which Paul’s train to work is late during a 450-days period is denoted by the random carriable Y. Find a value of a such the P(Y>a)≈ 1/6 . In the expansion of (0.15+0.85)^50 , the terms involving 0.15^r and 0.15^(r+1) and denoted by Tr and Tr+1 respectively. (ii) Show that Tr / Tr+1 = 17(r+1)/3(50-r)
The manufacturer of large liquid crystal display (LCD) is difficult. Some defectsare minor and can be removed; others are unremovable. The number of unremovabledefects for each of n = 45 displays1 0 5 3 0 7 6 0 0 4 6 85 0 9 1 0 8 6 0 3 2 0 00 6 0 10 0 6 0 0 1 0 0 00 1 5 1 0 5 0 0 2has mean ̅ x= 2.667 and s = 3.057 unremovable defects. Conduct a test of hypothesis withthe intent of showing that the mean number of unremovable defects is less than 3.6. Take α= 0.025.
Suppose that X is uniformly distributed on [0, 4]. Define Y = 2X + 5. Compute the pdf and cdf of Y.
Suppose that n observations are chosen at random from a continuous pdf fY(y). What is the probability that the last observation recorded will be the smallest number in the sample? I asked this question earlier today, but didn't quite understand all of the response. P(y1<=yn)p(y2<=yn) and so on was used, but shouldn't the yn be listed first in the inequality since we want to know if yn is the smallest?
A certain market has both an express checkout line and a superexpress checkout line. Let X1 denote the number of customers in line at the express checkout at a particular time of day, and let X2 denote the number of customers in line at the superexpress checkout at the same time. Suppose the joint pmf of X1 and X2 is as given in the accompanying table. x2 0 1 2 3 x1 0 0.09 0.07 0.04 0.00 1 0.05 0.15 0.05 0.04 2 0.05 0.03 0.10 0.06 3 0.01 0.02 0.04 0.07 4 0.00 0.02 0.05 0.06 (a) What is P(X1 = 1, X2 = 1), that is, the probability that there is exactly one customer in each line?P(X1 = 1, X2 = 1) = (b) What is P(X1 = X2), that is, the probability that the numbers of customers in the two lines are identical?P(X1 = X2) = (c) Let A denote the event that there are at least two more customers in one line than in the other line. Express A in terms of X1 and X2. A = {X1 ≥ 2…