Answer:
The variance and standard deviation of X are 0.48 and 0.693 respectively.
The variance and standard deviation of (20 - X) are 0.48 and 0.693 respectively.
Explanation:
The variable X is defined as, X = number of defective items in the sample.
In a sample of 20 items there are 4 defective items.
The probability of selecting a defective item is:
![P (X)=(4)/(20)=0.20](https://img.qammunity.org/2021/formulas/mathematics/college/l8ip1wjxr28737llm9yc9xsq5d16oytx9e.png)
A random sample of n = 3 items are selected at random.
The random variable X follows a Binomial distribution with parameters n = 3 and p = 0.20.
The variance of a Binomial distribution is:
![V(X)=np(1-p)](https://img.qammunity.org/2021/formulas/mathematics/college/uatydwasnjhmaraypmnnxfx468dkzhwj3t.png)
Compute the variance of X as follows:
![V(X)=np(1-p)=3*0.20*(1-0.20)=0.48](https://img.qammunity.org/2021/formulas/mathematics/college/1h7judno2g5q5a1z5e6xkknyvuy55knsme.png)
Compute the standard deviation (σ (X)) as follows:
![\sigma (X)=√(V(X))=√(0.48)=0.693](https://img.qammunity.org/2021/formulas/mathematics/college/fxmds0b90nnru2sqahhqr043xyj0i4db21.png)
Thus, the variance and standard deviation of X are 0.48 and 0.693 respectively.
Now compute the variance of (20 - X) as follows:
![V(20-X)=V(20)+V(X)-2Cov(20,X)=0+0.48-0=0.48](https://img.qammunity.org/2021/formulas/mathematics/college/62tazszolgqz1f0d7cyasbxg07y9723vxw.png)
Compute the standard deviation of (20 - X) as follows:
![\sigma (20-X)=√(V(20-X)) =√(0.48)0.693](https://img.qammunity.org/2021/formulas/mathematics/college/1lthtre92vs806ml17ogeu1nkdtlg6ub69.png)
Thus, the variance and standard deviation of (20 - X) are 0.48 and 0.693 respectively.