English

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, - Mathematics and Statistics

Advertisements
Advertisements

Question

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.

Sum
Advertisements

Solution

Let X denote the number of rats per bungalow.

Given, m = 5 and e–5 = 0.0067

∴ X ~ P(m) ≡ X ~ P(5)

The p.m.f. of X is given by

P(X = x) = `("e"^-"m" "m"^x)/(x!)`

∴ P(X = x) = `("e"^-5*(5)^x)/(x!), x` = 0, 1, ..., 5

P(between 5 and 7 rats, inclusive)

= P(5 ≤ X ≤ 7)

= P(X = 5 or X = 6 or X = 7)

= P(X = 5) + P(X = 6) + P(X = 7)

= `("e"^-5 (5)^5)/(5!) + ("e"^-5 (5)^6)/(6!) + ("e"^-5 (5)^7)/(7!)`

= `("e"^-5 (5)^5)/(5!)  + ("e"^-5 (5)^6)/(6 xx 5!) + ("e"^-5 (5)^7)/(7 xx 6 xx 5!)`

= `("e"^-5 xx 5^5)/(5!) [1 + 5/6 + 5^2/(7 xx 6)]`

= `("e"^-5 xx 5^5)/(5 xx 4 xx 3 xx 2 xx 1)[1 + 0.833 + 0.595]`

= `(0.0067 xx 5^4)/(24) (2.428)`

= `(0.0067 xx 625 xx 2.428)/(24)`

= `(10.1673)/(24)`

= 0.4236

shaalaa.com
  Is there an error in this question or solution?
Chapter 8: Probability Distributions - Exercise 8.4 [Page 152]

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 

Mean of X [Use e-2 = 0.1353] 


If X~P(0.5), then find P(X = 3) given e−0.5 = 0.6065.


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.


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 exactly 5 rats inclusive. Given e-5  = 0.0067.


Solve the following problem :

If X follows Poisson distribution such that P(X = 1) = 0.4 and P(X = 2) = 0.2, find variance of X.


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


Choose the correct alternative:

For the Poisson distribution ______


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:  

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:

If n is very large and p is very small then X follows Poisson distribution with n = mp


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 has Poisson distribution with parameter m and P(X = 2) = P(X = 3), then find P(X ≥ 2). Use e–3 = 0.0497.

P[X = x] = `square`

Since P[X = 2] = P[X = 3]

`square` = `square`

`m^2/2 = m^3/6` 

∴ m = `square`

Now, P[X ≥ 2] = 1 – P[x < 2]

= 1 – {P[X = 0] + P[X = 1]

= `1 - {square/(0!) + square/(1!)}`

= 1 – e–3[1 + 3]

= 1 – `square` = `square`


In a town, 10 accidents take place in the span of 50 days. Assuming that the number of accidents follows Poisson distribution, find the probability that there will be 3 or more accidents on a day.

(Given that e-0.2 = 0.8187)


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×