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The problem at hand involves calculating the probability of exactly 2 defective light bulbs out of a box of 10, given that each bulb has a 5% chance of being defective. This scenario is modeled by a binomial distribution, which is used to determine the probability of a fixed number of successes in a fixed number of independent Bernoulli trials.
Understanding the Binomial Distribution
Binomial Probability Formula
The probability of getting exactly k successes in n trials is given by:
P(X=k)=(kn)⋅pk⋅(1−p)n−k
Where (kn) is the binomial coefficient, calculated as:
(kn)=k!(n−k)!n!
Calculate the Binomial Coefficient
(210)=2!⋅(10−2)!10!=2⋅110⋅9=45
Calculate the Probability
Plugging the values into the formula:
P(X=2)=45⋅(0.05)2⋅(0.95)8
Calculate (0.05)2: (0.05)2=0.0025
Calculate (0.95)8: (0.95)8≈0.6634
Combine the results: P(X=2)=45⋅0.0025⋅0.6634 P(X=2)≈0.0746
Interpretation
The probability that exactly 2 out of the 10 bulbs in the package are defective is approximately 0.0746, or 7.46%.
This result indicates that there is a 7.46% chance of finding exactly two defective bulbs in a randomly selected box of 10 bulbs, given the defect rate of 5% per bulb.