Find the probability that at most 5 deffective defuses will be found in a box of 200.If experience shows that two percent of such defuses are defective.
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For such problems we have to assume that the samples of the fuses follow
the
standard normal probability distribution function or a poisson's probability
function.
The number of defective fuses found in a sample of size N follows the
Poisson's distribution function or standard normal distribution function.
p = 2% = 1/50
N = 200
Let X be the number of defective fuses in a box of N fuses.
Expected number of defective fuses in a box of 200 fuses is Np = λ = mean
E(X) = λ = 200 * 1/50 = 4
Probability density as per Poisson's distribution function. The probability that
the number of defective fuses is k is equal to:
P (x= k) = e^(-λ λ^k)k!
Also, the probability that the number of defective fuses is less than of equal
to k is equal to:
P ( x ≤ K ) ≤ e^(-λ(eλ^k))/k^k
Substitute λ = 4 and k = 5 in this expression :
P (X <= 5) <= 2.06 * 10⁻¹¹ very small probability.
It is expected as, in the box we expect around 4 defective fuses. So there
eing only 5 or less defective fuses is very very small
===========================================
You could also calculcate
P (X <= 5) = P(X=0) + P(X = 1)+P(X=2) + P(X=3) + P(X=4) +P(X=5)
e^-4{ (4^0/0!) + (4^1/1!) + (4^2/2!) + (4^3/3!) + (4^4/4!) + (4^5/5!)}
= > 42.85 *e^-4
standard normal probability distribution function or a poisson's probability
function.
The number of defective fuses found in a sample of size N follows the
Poisson's distribution function or standard normal distribution function.
p = 2% = 1/50
N = 200
Let X be the number of defective fuses in a box of N fuses.
Expected number of defective fuses in a box of 200 fuses is Np = λ = mean
E(X) = λ = 200 * 1/50 = 4
Probability density as per Poisson's distribution function. The probability that
the number of defective fuses is k is equal to:
P (x= k) = e^(-λ λ^k)k!
Also, the probability that the number of defective fuses is less than of equal
to k is equal to:
P ( x ≤ K ) ≤ e^(-λ(eλ^k))/k^k
Substitute λ = 4 and k = 5 in this expression :
P (X <= 5) <= 2.06 * 10⁻¹¹ very small probability.
It is expected as, in the box we expect around 4 defective fuses. So there
eing only 5 or less defective fuses is very very small
===========================================
You could also calculcate
P (X <= 5) = P(X=0) + P(X = 1)+P(X=2) + P(X=3) + P(X=4) +P(X=5)
e^-4{ (4^0/0!) + (4^1/1!) + (4^2/2!) + (4^3/3!) + (4^4/4!) + (4^5/5!)}
= > 42.85 *e^-4
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