QUESTION IMAGE
Question
suppose that the probability of a dvd player that was manufactured in a certain factory being defective is 2%. what is the probability that 3 dvd players are defective in a shipment of 13 dvd players from this factory?
a. 0.0019
b. 286
c. 0.0023
d. 0.00176
please select the best answer from the choices provided
Step1: Identify the binomial probability formula
The binomial probability formula is \(P(X = k)=C(n,k)\times p^{k}\times(1 - p)^{n - k}\), where \(n\) is the number of trials, \(k\) is the number of successes, \(p\) is the probability of success on a single trial, and \(C(n,k)=\frac{n!}{k!(n - k)!}\)
Step2: Assign values to the variables
Here, \(n = 13\) (number of DVD players), \(k=3\) (number of defective DVD players), \(p = 0.02\) (probability of a DVD player being defective), and \(1-p=0.98\)
Step3: Calculate the combination \(C(13,3)\)
Step4: Calculate \(p^{k}\) and \((1 - p)^{n - k}\)
\(p^{k}=(0.02)^{3}=0.000008\) and \((1 - p)^{n - k}=(0.98)^{10}\approx0.8170728\)
Step5: Calculate the probability \(P(X = 3)\)
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A. 0.0019