10 items have been selected from a production line to be inspected. Suppose the process is out of control and a defective item just as likely to occur as a non-defective item. Find the probability of the event Observe at least one defective item.
This is a direct application of binomial distribution.
Let X be a number of defective item among 10 items.
P(defective) = P(non-defective) = p = 0.5
Here, X ~ Binomial ( n = 10, p =0.5)
probability mass function of X is,
P(X = x) = nCx px (1-p)n-x
We want to find, P(X >=1)
P(X >=1)
= 1 - P(X < 1)
= 1 - P(X = 0)
= 1 - [ 10C0 * (0.5)0 * (1 - 0.5)10-0 ]
= 1 - [ 1 * 1 * (0.5)10 ]
= 1 - 0.0009765625
= 0.9990234375
P(X >=1) = 0.9990234375
P(X >=1) = 0.9990 ( rounded to 4 decimal places)
Hence, the probability of the event Observe at least one defective item is 0.9990
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