We are given the distribution here as:
a) The probability here is computed as:
Therefore 0.6472 is the required probability here.
b) The required probability here is computed as:
Therefore 0.3528 is the required probability here.
c) The required probability here is computed as:
Therefore 0.4928 is the required probability here.
d) We already computed in first part that:
Therefore the smallest value of x required here is 0.4232
outside the United States? Poisson distribution with Xt equal to 3: b. P(r > 3) d....
> 0, that is 7. Let X has a Poisson distribution with parameter P(X = x) = e- Tendte 7. x = 0, 1, 2, .... Find the variance of X.
If X is a Poisson variable such that P(X=2)=3/10 and P(X=1)=1/5. Then P(0.2<X<2.9)+P(X=3.5) equal to A discrete random variable X has a cumulative distribution function defined by F(x) (x+k) for x = 0,1,2 Then the value of k is 16
Let X be a discrete random variable that follows a Poisson distribution with = 5. What is P(X< 4X > 2) ? Round your answer to at least 3 decimal places. Number
1. Let {Xt,t 0,1,2,...J be a Markov chain with three states (S 1,2,3]), initial distribution (0.2,0.3,0.5) and transition probability matrix P0.5 0.3 0.2 0 0.8 0.2 (a) Find P(Xt+2 1, Xt+1-2Xt 3) (b) Find the two step transition probability matrix P2) and specifically (e) Find P(X2-1 (d) Find EXi.
(EXPONENTIAL DISTRIBUTION) Customers arrive at the claims counter at the rate of 20 per hour (Poisson distributed). What is the probability that the arrival time between consecutive customers is less than five minutes? Hint: Compute P(X<5) 1-e after compute ] (3 pts.)
9. Let X be a Poisson random variable with parameter k = 3. (a) P[X 25] (b) Find P[5 S X <10) (c) Find the variance ? 10. Use the related Table to find the following: (here Z represents the standard normal variable) (a) P[Z > 2.57] (b) The point z such that PL-2 SZ sz]=0.8
Question 3 Suppose that the random variable X has the Poisson distribution, with P (X0) 0.4. (a) Calculate the probability P (X <3) (b) Calculate the probability P (X-0| X <3) (c) Prove that Y X+1 does not have the Polsson distribution, by calculating P (Y0) Question 4 The random variable X is uniformly distributed on the interval (0, 2) and Y is exponentially distrib- uted with parameter λ (expected value 1 /2). Find the value of λ such that...
Ho: u= 6 HA: u>6 2. [4] An observation X is drawn from a Poisson distribution with mean u. Consider a test of the hypotheses at right. Suppose X = 12 is observed. a. [3] Determine the P-value for the test. b. [1] If the significance level is a= 0.05, what is your decision?
plz solv quickly s
03) (2+2+2+1-7 marks) Let X have a Poisson distribution with parameter i-9. a. What value of a such that P(x2 a) 0.005 b. Compute P(3 <x <10) c. Compute P (x9)
Use Table A.3, Appendix A, to find the following Poisson
distribution values.
Appendix AAppendix A Statistical Tables
(Round your answers to 4 decimal
places.)
a. P(x = 5 | λ = 1.8) =
b. P(x < 5 | λ = 3.9) =
c. P(x ≥ 3 | λ = 2.5) =
d. P(2 < x ≤ 5 | λ = 4.2)
=