EASY
Earn 100

X~Po1.5. Calculate: PX=4

Important Questions on The Poisson Distribution

EASY
If the number of incoming buses per minute at a bus terminus is a random variable having a Poisson distribution with λ=0.9, find the probability that there will be : at least 14 incoming buses during a period of 11 minutes.
MEDIUM
If, in a Poisson distribution P(X=0)=k then the variance is 
EASY
If the number of incoming buses per minute at a bus terminus is a random variable having a Poisson distribution with λ=0.9, find the probability that there will be : exactly 9 incoming buses during a period of 5 minutes.
MEDIUM
If X is a Poisson variate such that 2P(X=1)=5P(X=5)+2P(X=3), then the standard deviation of X is
MEDIUM
Let X be a Poisson random variable with a parameter λ. Then the probability that X is odd is: 
EASY
If the number of incoming buses per minute at a bus terminus is a random variable having a Poisson distribution with λ=0.9, find the probability that there will be : fewer than 10 incoming buses during a period of 8 minutes.
MEDIUM
If S is a Poisson variate such that Px=1=0.7,Px=2=0.3, then Px=0______.
EASY
If the probability that an individual will suffer a bad reaction from an injection is 0.001, then the probability that out of 2000 individuals, exactly 3 individuals suffer a bad reaction is
EASY
If the parameter of poisson distribution is m and mean+S.D.=625 then find m.
HARD
Let px represent the probability mass function of a Poisson distribution. If its mean λ=3.725, then value of x at which px is maximum is
MEDIUM
A die is thrown twice. If getting a number greater than four on the die is considered a success, then the variance of the probability distribution of the number of successes is
EASY
Face masks are supplied to a junior college in packets of 100. If there is a chance that 1 in 500 face mask is defective, then the number of packets containing no defective face masks in a consignment of 10,000 packets, is
MEDIUM
In a communication network, ninety-eight percent of messages are transmitted with no error. If a random variable X denotes the number of incorrectly transmitted messages, then the probability that atmost one message is transmitted incorrectly out of 500 messages sent, is
EASY
Suppose the number of accidents occurring on a highway in each day follows a Poisson random
variable with parameter 3. Then, what is the probability that no accidents occur today?