Let, X and Y denote car accidents on Saturday and Sunday respectively, so as per the problem,
where, and are the mean of the poisson distribution X and Y are following respectively.
So it is proved that,
So the sum will of the poisson distribution will follow poisson distribution with mean
Given the problem, = 3.7 and = 2.3
So the sum of two independent poisson distribution is another poisson distribution with mean = 3.7 + 2.3 = 6.
4. Assume that the number of car accidents on Saturday has a Poisson dis- tribution with...
The number N of earthquakes in a highly seismic area follows a Poisson dis- tribution with parameter = 1/2 per year. The cost of damages in hundreds of thousands of dollars for each earthquake is a random variable with density function: f(1) =* if 0 5153. The costs of damages for the earthquakes are independent of each other, and are independent of N. 1. Find the average of the cost of damages per earthquake. 2. Find the variance of the...
1.The number of accidents that occur at a busy intersection is Poisson distributed with a mean of 3.7 per week. Find the probability of 10 or more accidents occur in a week? 2.The probability distribution for the number of goals scored per match by the soccer team Melchester Rovers is believed to follow a Poisson distribution with mean 0.80. Independently, the number of goals scored by the Rochester Rockets is believed to follow a Poisson distribution with mean 1.60. You...
Let X1,..., Xn and Yi,..., Ym be two independent samples from a Poisson dis- tribution with parameter X. Let a, b be two positive numbers. Consider the following estimator for A: Y1 X1 Xn . Ym b n m (a) What condition is needed on a and b so that X is unbiased? (b) What is the MSE of A?
Let X1, ..., Xn and Y1, ...,Ym be two independent samples from a Poisson dis- tribution with parameter 1. Let a,b be two positive numbers. Consider the following estimator for 1: i-X1 + ... + Xn+hY1 + ... + Ym m п (a) What condition is needed on a and b so that û is unbiased? (b) What is the MSE of Î?
Assume the Poisson distribution applies and that the mean number of aircraft accidents is 5 per month. Find P(9), the probability that in a month, there will be exactly 9 aircraft accidents. Is it unlikely to have a month with 9 aircraft accidents?
Suppose that in a week the number of accidents at a certain crossing has a Poisson distribution with an average of 0.6 a) What is the probability that there are at least 3 accidents at the crossing for two weeks? b) What is the probability that the time between an accident and the next one is longer than 2 weeks?
(3.4) This question is about a continuous probability dis- tribution known as the exponential distribution Let x be a continuous random variable that can take any value x 20. A quantity is said to be exponen- tially distributed if it takes values between r and r + dr with probability where A and A are constants. (a) Find the value of A that makes P() a well- defined continuous probability distribution so that Jo o P(x) dx = 1 (b)...
The number of accidents occurring per week on a certain stretch of motorway has a Poisson distribution with mean 24 Find the probability that in a randomly chosen week, there are between 3 and 6 (both inclusive) accidents on this stretch of motorway O 0.419 O 0.4303 O 04660 O 0534
Recall that a discrete random variable X has Poisson distribution with parameter λ if the probability mass function of X Recall that a discrete random variable X has Poisson distribution with parameter λ if the probability mass function of X is r E 0,1,2,...) This distribution is often used to model the number of events which will occur in a given time span, given that λ such events occur on average a) Prove by direct computation that the mean of...
PROBLEM 2 The number of accidents in a certain city is modeled by a Poisson random variable with average rate of 10 accidents per day. Suppose that the number of accidents in different days are independent. Use the central limit theorem to find the probability that there will be more than 3800 accidents in a certain year. Assume that there are 365 days in a year.