A manufacturing process turns out articles that are on the average 10% defective. Compute the probability of 0,1,2 and 3 defective articles that might occur in a sample of 3 articles.
Answers
P(X = 0) = 0.729
P(X = 1) = 0.243
PX = 2) = 0.027
P(X = 3) = 0.001
Step-by-step explanation:
We are given that a manufacturing process turns out articles that are on the average 10% defective.
Also, a sample of 3 articles is selected.
The above situation can be represented through Binomial distribution;
where, n = number of trials (samples) taken = 3 articles
r = number of success
p = probability of success which in our question is probability that
articles are defective, i.e; 10%
LET X = Number of articles that are defective
SO, X ~ Binom(n = 3, p = 0.10)
(a) Probability that there are 0 defective articles in a sample of 3 articles is given by = P(X = 0)
P(X = 0) =
=
= 0.729
(b) Probability that there are 1 defective articles in a sample of 3 articles is given by = P(X = 1)
P(X = 1) =
=
= 0.243
(c) Probability that there are 2 defective articles in a sample of 3 articles is given by = P(X = 2)
P(X = 2) =
=
= 0.027
(d) Probability that there are 3 defective articles in a sample of 3 articles is given by = P(X = 3)
P(X = 3) =
=
= 0.001