English

The Number of Complaints Which a Bank Manager Receives per Day is a Poisson Random Variable with Parameter M = 4. Find the Probability that the Manager Will Receive

Advertisements
Advertisements

Question

The number of complaints which a bank manager receives per day is a Poisson random variable with parameter m = 4. Find the probability that the manager will receive -

(a) only two complaints on any given day.

(b) at most two complaints on any given day

[Use e-4 =0.0183]

Sum
Advertisements

Solution

`P(X=k)=e^(-m) xx m^k/(k!)`

(a) only two complaints on any given day.

k=2, m=4 

`P(X=2)=e^(-4) xx 4^2/2`

`=0.0183 xx 8 `

`=0.1464`
Probability that the manager will recieve only two complaints on any given day = 0.1464

(b) at most two complaints on any given day

`=P(x<=2)`

`=P(x=0)+P(x=1)+P(x=2)`

`= e^(-4) + 4e^(-4) + 4^2   (e^(-4))/(2!)`

`= e^(-4) ( 1 + 4 + 8)`

`= 13 x e^(-4)`

= 13 x 0.0183

= 0.2379

Probab ility that the manager will receive · at most two complaints on any given day = 0.2379.

shaalaa.com
  Is there an error in this question or solution?
2014-2015 (March)

APPEARS IN

Video TutorialsVIEW ALL [2]

RELATED QUESTIONS

 If a random variable X follows Poisson distribution such that P(X = l) =P(X = 2), then find P(X ≥ 1).  [Use e-2 = 0.1353] 


 If X has Poisson distribution with parameter m = 1, find P[X ≤ 1]  [Use `e^-1 = 0.367879`]


If X has a Poisson distribution with variance 2, find P (X = 4) 

[Use e-2 = 0.1353] 


If X has a Poisson distribution with variance 2, find P(X ≤ 4) 

[Use e-2 = 0.1353] 


The number of complaints which a bank manager receives per day follows a Poisson distribution with parameter m = 4. Find the probability that the manager receives only two complaints on a given day


The number of complaints which a bank manager receives per day follows a Poisson distribution with parameter m = 4. Find the probability that the manager receives a) only two complaints on a given day, b) at most two complaints on a given day. Use e−4 = 0.0183.


A car firm has 2 cars, which are hired out day by day. The number of cars hired on a day follows Poisson distribution with mean 1.5. Find the probability that (i) no car is used on a given day, (ii) some demand is refused on a given day, given e−1.5 = 0.2231.


It is known that, in a certain area of a large city, the average number of rats per bungalow is five. Assuming that the number of rats follows Poisson distribution, find the probability that a randomly selected bungalow has between 5 and 7 rats inclusive. Given e−5 = 0.0067.


Solve the following problem :

If X follows Poisson distribution with parameter m such that
`("P"("X" = x + 1))/("P"("X" = x)) = (2)/(x + 1)`
Find mean and variance of X.


X : is number obtained on upper most face when a fair die is thrown then E(X) = ______


Choose the correct alternative:

A distance random variable X is said to have the Poisson distribution with parameter m if its p.m.f. is given by P(x) = `("e"^(-"m")"m"^"x")/("x"!)` the condition for m is ______


State whether the following statement is True or False:

X is the number obtained on upper most face when a die is thrown, then E(x) = 3.5


State whether the following statement is True or False:  

A discrete random variable X is said to follow the Poisson distribution with parameter m ≥ 0 if its p.m.f. is given by P(X = x) = `("e"^(-"m")"m"^"x")/"x"`, x = 0, 1, 2, .....


State whether the following statement is true or false:

lf X ∼ P(m) with P(X = 1) = P(X = 2) then m = 1.


If X – P(m) with P(X = 1) = P(X = 2), then find the mean and P(X = 2) given that e–2 = 0.1353

Solution: Since P(X = 1) = P(X = 2)

`(e^-mm^1)/(1!) = square`

∴ m = `square`

∴ mean = `square` = `square`

Then P(X = 2) = `square` = `square`


If X ∼ P(m) with P(X = 1) = P(X = 2), then find the mean and P(X = 2).

Given e–2 = 0.1353

Solution: Since P(X = 1) = P(X = 2)

∴ `("e"^square"m"^1)/(1!) = ("e"^"-m""m"^2)/square`

∴ m = `square`

∴ P(X = 2) = `("e"^-2. "m"^2)/(2!)` = `square`


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×