Answer:
The variance and standard deviation of <em>X</em> are 0.48 and 0.693 respectively.
The variance and standard deviation of (20 - <em>X</em>) are 0.48 and 0.693 respectively.
Step-by-step explanation:
The variable <em>X</em> is defined as, <em>X</em> = 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)=\frac{4}{20}=0.20](https://tex.z-dn.net/?f=P%20%28X%29%3D%5Cfrac%7B4%7D%7B20%7D%3D0.20)
A random sample of <em>n</em> = 3 items are selected at random.
The random variable <em>X</em> follows a Binomial distribution with parameters <em>n</em> = 3 and <em>p </em>= 0.20.
The variance of a Binomial distribution is:
![V(X)=np(1-p)](https://tex.z-dn.net/?f=V%28X%29%3Dnp%281-p%29)
Compute the variance of <em>X</em> as follows:
![V(X)=np(1-p)=3\times0.20\times(1-0.20)=0.48](https://tex.z-dn.net/?f=V%28X%29%3Dnp%281-p%29%3D3%5Ctimes0.20%5Ctimes%281-0.20%29%3D0.48)
Compute the standard deviation (σ (X)) as follows:
![\sigma (X)=\sqrt{V(X)}=\sqrt{0.48}=0.693](https://tex.z-dn.net/?f=%5Csigma%20%28X%29%3D%5Csqrt%7BV%28X%29%7D%3D%5Csqrt%7B0.48%7D%3D0.693)
Thus, the variance and standard deviation of <em>X</em> 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://tex.z-dn.net/?f=V%2820-X%29%3DV%2820%29%2BV%28X%29-2Cov%2820%2CX%29%3D0%2B0.48-0%3D0.48)
Compute the standard deviation of (20 - X) as follows:
![\sigma (20-X)=\sqrt{V(20-X)} =\sqrt{0.48}0.693](https://tex.z-dn.net/?f=%5Csigma%20%2820-X%29%3D%5Csqrt%7BV%2820-X%29%7D%20%3D%5Csqrt%7B0.48%7D0.693)
Thus, the variance and standard deviation of (20 - <em>X</em>) are 0.48 and 0.693 respectively.