i) CHOOSE which of these probability distributions is
most appropriate to describe a random variable X defined as "the
number of approved state-government construction contracts bid by
the engineering firm in the recent year". *
X~Poisson(8)
X~Po(3.2)
X~Binomial(8,0.4)
X~Negative Binomial(8,0.4)
X~Geometric(0.4)ii) Using the random variable X in question 1(i),
which of the following mathematical expressions indicates: the
probability that the engineering firm will not get any
state-government construction contracts that they have bid in the
recent year? *
P(X=8)
P(X > 1)
1 - P(X=0)
P(X is at most 0)iii) Hence, which of the following answers is
correct for the probability that the firm will not get any
state-government construction contracts that they have bid in the
recent year? *
0.0168
0.0408
0.6866
0.3134
0.9832Y~Hypergeometric(8,2,5)
Y~Negative Binomial(2, 0.0408)
Y~Geometric(0.6)
Y~Binomial(8, 0.6)
Y~Negative Binomial(2, 0.0168)
Y~Negative Binomial(2, 0.6)
1.(i) X~Bin(8,0.4)
(ii) P(X is atmost 0)
(iii) Y~Hypergeometric(8,2,5)
Y~Negative Binomial(2, 0.0408)
i) CHOOSE which of these probability distributions is most appropriate to describe a random variable X...
Just the last part please :) Consider the following distributions for a random variable X. In each case, match the distribution with the expectation of Y= 10-2x2 Poisson distribution with ?=5-50 Binomial(n= 10,p=0.3) Geometric(p-0.6) 12.2 4 0 x-oo! Choose.. ?
Determine which type of random variable the following examples are: (a) binomial, (b) hypergeometric, (c) geometric, or (c) Poisson. Then find the probability. I. Suppose that 30% of all drivers stop at an intersection having flashing red lights when no other cars are visible. Of 15 randomly selected drivers coming to an intersection under these conditions, let X denote the number of those who stop. Find P(X 6) and P(X 2 6).
Suppose X is a Binomial random variable for which there are 3 independent trials and probability of success 0.5. What is the mean? Suppose Y is a Binomial random variable for which there are 5 independent trials and probability of success 0.5. What is the mean?
Assume the random variable X has a binomial distribution with the given probability of obtaining a success. Find the following probability, given the number of trials and the probability of obtaining a success. Round your answer to four decimal places. P(X 11), n= 18, p = 0.6
Assume the random variable X has a binomial distribution with the given probability of obtaining a success. Find the following probability, given the number of trials and the probability of obtaining a success. Round your answer to four decimal places. P(X=14), n=19, p=0.6
Assume the random variable X has a binomial distribution with the given probability of obtaining a success. Find the following probability, given the number of trials and the probability of obtaining a success. Round your answer to four decimal places. P(X=16), n=17, p=0.6
P7 continuous random variable X has the probability density function fx(x) = 2/9 if P.5 The absolutely continuous random 0<r<3 and 0 elsewhere). Let (1 - if 0<x< 1, g(x) = (- 1)3 if 1<x<3, elsewhere. Calculate the pdf of Y = 9(X). P. 6 The absolutely continuous random variables X and Y have the joint probability density function fx.ya, y) = 1/(x?y?) if x > 1,y > 1 (and 0 elsewhere). Calculate the joint pdf of U = XY...
Assume the random variable X has a binomial distribution with the given probability of obtaining a success. Find the following probability, given the number of trials and the probability of obtaining a success. Round your answer to four decimal places. P(X < 4), n = 7.p = 0.6 Answer(How to Enter) 2 Points Keypad Keyboard Shortcuts
1. If the p.g.f. of a random variable X assuming non-negative values is Gx(s), then find the p.g.f.'s of the following [8 points]: (a) YX3 (b) Y2 (c) YX3/2 (d) Y43X 2. If X follows a binomial distribution with parameters n, and p, find the p.g.f. of X. From the p.g.f. derive the mean and variance of X. Show all the steps for receiving full credit. [6 points 3. Let Y Geometric(p), then show that [3 points] P P (Y...
If x is a binomial random variable, use the binomial probability table to find the probabilities below. a.. P(x=2) for n=10, p=0.4 b.. P(x≤6) for n=15, p=0.3 c.. P(x>1) for n=5, p=0.1 d.. P(x<17) for n=25, p=0.9 e.. P(x≥6) for n=20, p=0.6 f.f. P(x=2) for n=20, p=0.2 a. P(x=2)=_______________-(Round to three decimal places as needed.)