With one method of a procedure called acceptance sampling, a sample of items is randomly selected without replacement and the entire batch is accepted if every item in the sample is okay. A company just manufactured 796 CDs, and 205 are defective. If 3 of these CDs are randomly selected for testing, what is the probability that the entire batch will be accepted?
The probability that the first CD in the sample is not defective is 591/796
The probability that the second CD in the sample is not defective is 590/795
The probability that the third CD in the sample is not defective is 589/794
P(sample has 0 defective CDs)=591×590× 589796×795×794=
you can calculate
Answer: 0.405224
Step-by-step explanation:
Given : A company just manufactured 796 CDs, and 205 are defective.
Then, the probability that a CD is defective : \(p=\dfrac{205}{796}=0.257537688442\approx0.26\)
Sample size : n= 3
Binomial probability formula :
\(P(x)=^nC_xp^x(1-p)^{n-x}\)
By using binomial probability formula, the probability that none 3 CDs is defective:-
\(P(3)=^3C_3(0.26)^0(1-0.26)^{3}\\\\=(1)(0.74)^3\ \ [\text{Since}^nC_n=1]\\\\=0.405224\)
Hence, the the probability that the entire batch will be accepted= 0.405224