Q3.Which of these is the notation for the binomially distributed randomvariable, X? (where n is the number of trials and p= Pr(Success))А. X — В(n,p) В. X~ B(n, p) С. X~ Blп, pр*) D. x~Np, n)О А. АВ. ВО С. СO D. D

Answered: Image /qna-images/answer/7439c71b-8509-4371-b9d1-92277de3e3eb.jpg

Answered: Q3. Which of these is the notation for…

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

Really need it to study, please don't copy the answers from others.
iid 1. Let T1,T2, ..., n) = p · (1 – p)"-' I{1,2,...}(n). (That is, N ~ geom1(p).) What is the distribution of елp(rate A) and let N be an independent random variable with P(N = T = T1 +T2 + .+TN? (Name it!)
39. Let the random variable X have a Continuous Uniform Distribution over [10, 20]. Find P(X > 16). A. 0.40 В. 0.45 С. О.50 D. 0.55
This is question. - Show that if the prior probability л of a hypothesis is close to unity, then the posterior probability po satisfies 1 – po = (1 - ¹)B-¹ and more exactly 1 - Pо = (1 - ¹)B−¹ + (1 − л₁)²(B−¹ – B−²). The answer I got is. Can you please interpret the answer? -1 1. 1 − (1 – Po) = Po = [1 + (1 − ño)ñõ¹B−¹]¯¹ = 1 − (1 — ño)πō¹B−¹ + (1 − TO)²²B-². Result then follows on noting ñ¯¯¹ = {1 − (1 − ño)}¯¹ ≈1+(1−ño).
Q2 GX is the random variable such that X ~ B(15, p) and Var(X) = 2.4. Find the two possible values of p. 5) X is the random variable such that X ~ B(n, p), E(X) = 4.8 and Var(X) = 2.88. Find the values of n and p. | The probability that a salesman gets a reply when he knocks on the door of a house is 0.65. Find the probability that in a street of 10 houses he receives: i exactly 5 replies ii at least 5 replies. i How many houses should he visit such that the random variable X = 'number of replies' has a mean of 78? ii What is the variance in this case?
A docs.google.com/forms/d/e (1) Let X be a random variable with p.d.f. fx) =- , then O.w (b) k- (0) k = (a) k=1 (d) k-5 (e) None of these a is the correct answer b is the correct answer c is the correct answer d is the correct answer e is the correct answer (2) Let X be a random variable with a function x= 0,1, 2,3 4 x! (3-x)! f(x) = , then p(x<1) is 0.w (b) (d) (e) None of these 27 (a) 27 (c) 27 a is the correct answer b is the correct answer c is the correct answer d is the correct answer e is the correct answer
3b)
Suppose X1,X2.X10 are independent N(H,02) random variables. Z1,Z2.Z5 are independent N(0,1) random variables. The distribution of X + Z is a. N(u, O b. None of these С. N(u,- 10 d. N(0,
Suppose that X is a random variable * ? having the following m.g.f., Find Var(x) 7t_e4t M, (t) = eT 173 O 5 O 413 O 3148 O 55 O
PLEASE SOLVE ALL THE QUESTIONS FROM A TO D
Question * Let X and Y be two random variables such that: Y = 75 – 3X – X², E(X²) = 12 and E(Y) = 54. suppose thatcov(X,Y) = -2, then E[(X + 1)2Y] = O None of these 160 428 66
4 Suppose that Alejandro is planting a garden of tulips. Let X be the Bernoulli random variable that returns 1 if the tulip is red, and 0 otherwise. Suppose Y is another Bernoulli random variable, independent of X, that returns 1 if the tulip survives longer than 30 days, and 0 otherwise. Both X and Y have parameters 1/2. Let Z be the random variable that returns the remainder of the division of X +Y by 2. For example, if X = 1 and Y = 0, Z = remainder() = 1 (a) Prove that Z is also a Bernoulli random variable, also with parameter 1/2. (b) Prove that X, Y, Z are pairwise independent but not mutually independent. (c) By computing Var[X+Y+Z] according to the alternative formula for variance and using the variance of Bernoulli r.v.'s, verify that Var[X+Y+Z] = Var[X]+Var[Y] +Var[Z] %3D (observe that this also follows from the proposition on slide 5 of the lecture segment entitled "Binomial distribution").

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

Q3. Which of these is the notation for the binomially distributed random variable, X? (where n is the number of trials and p = Pr(Success)) А. Х — В(n,р) В. X~ B(n, p) С. X~ B(n, p?) D. X~N(p, n) О А. А ОВ. В ОС. С O D. D