It is known that 10% of certain articles manufactured are defective. What is the probability that in a random sample of 12 such articles, 9 are defective?
In this question, let us assume X represent the number of times selecting defected articles in a random sample space of given 12 articles
Also, the repeated articles in a random sample space are the Bernoulli trials
Clearly, we have X has the binomial distribution where n = 12 and ![]()
And, ![]()
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∴ ![]()
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Hence, probability of selecting 9 defective articles ![]()
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