In: Statistics and Probability
A manufacturing company regularly conducts quality control checks at specified periods on the products it manufactures.Historically,the failure rate for LED light bulbs that the company manufactures is
14
%.
Suppose a random sample of
10
LED light bulbs is selected. Complete parts (a) through (d) below.
b.What is the probability that exactly one of the LED light bulbs is defective?
The probability that exactly one of the LED light bulbs is defective is
_____
(Typean integer or a decimal. Round to four decimal places asneeded.)
The Given problem is solved using Binomial distribution:
Binomial Distribution
If 'X' is the random variable representing the number of successes, the probability of getting ‘r’ successes and ‘n-r’ failures, in 'n' trails, ‘p’ probability of success ‘q’=(1-p) is given by the probability function
Failure rate for LED light bulbs that the company manufactures is 14 %.
Probability that a randomly selected LED light bulb is defective: p = 14/100 = 0.14
Probability that a randomly selected LED light bulb is not defective: q = 1-p = 1-0.14 = 0.86
Number of LED light bulbs selected in the sample n = 10
Let X : Number of LED light bulbs in the sample are defective
Applying above Binomial distribution as defined above
X follows a Binomial distribution with n= 10 , p=0.14 , q=0.86
Probability function of X : Probability that 'r' LED light bulbs are defective
Probability that exactly one of the LED light bulbs is defective = P(X=1)
Probability that exactly one of the LED light bulbs is defective = 0.3603