Advertisements
Advertisements
Question
Solve the following problem :
Let X ∼ B(10,0.2). Find P(X ≤ 8).
Solution
X ~ B(10, 0.2) …[Given]
∴ n = 10, p = 0.2
∴ q = 1 – p = 1 – 0.2 = 0.8
The p.m.f. of X is given by
P(X = x) = `""^10"C"_x (0.2)^x (0.8)^(10 - x), x` = 0, 1,...,10
P(X ≤ 8) = 1 – P (X > 8) = 1 – P(X = 9 or X = 10)
= 1 – [P(X = 9) + P(X = 10)]
= `1 - [""^10"C"_9 (0.2)^9 (0.8) + ""^10"C"_10 (0.2)^10 (.8)^0]`
= 1 – (0.2)9 [10 x 0.8 + 0.2]
= 1 – (8.2) (0.2)9.
APPEARS IN
RELATED QUESTIONS
Given X ~ B(n, p) if p = 0.6 and E(X) = 6, find n and Var(X).
Given X ~ B(n, P) if n = 25 and E(X) = 10, find p and SD(X).
Given X ~ B(n, P) if n = 10, E(X) = 8, find Var(X).
If a fair coin is tossed 10 times and the probability that it shows heads in the first four tosses and tail in last six tosses.
Given that X ~ B(n, p). If n = 10, p = 0.4, then E(X) = ______
The probability that certain kind of component will survive a check test is 0.6. Find the probability that exactly 2 of the next 4 tested components survive
A fair coin is tossed 8 times. Find the probability that it shows heads at least once
The probability that a person who undergoes a kidney operation will be recovered is 0.5. Find the probability that out of 6 patients who undergo similar operation none will recover
The probability that a person who undergoes a kidney operation will be recovered is 0.5. Find the probability that out of 6 patients who undergo similar operation half of them recover.
When n is very large and p is very small in the binomial distribution, then X follows the Poission distribution with prameter m = ______
State whether the following statement is True or False:
If X ~ B(n, p) and n = 6 and P(X = 4) = P(X = 2), then p = `1/2`
State whether the following statement is True or False:
Let X ~ B(n, p), then the mean or expected value of r.v. X is denoted by E(X). It is also denoted by E(X) and is given by µ = E(X) = npq
lf X: is number obtained on upper most face when a fair coin is thrown then E(x) = ______.
In a binomial distribution n = 5, P(X = 1) = 0.4096 and P(X = 2) = 0.2048, then the mean of the distribution is equal to ______.
If X ∼ B(n, p) and if n = 10,p = 0.4 then E(x) = ______
The mean and variance of a random variable having a binomial distribution are 4 and 2 respectively, then P(X = 1) is ______.