Question #300501

Suppose three test kits are tested at random. Let N be the random variable for the number of non - defective test kits, construct the probability distribution P(N). What can you conclude about the effectivity of the COVID-19 Rapid Antibody Test kits based on your probability distribution? Explain briefly.



1
Expert's answer
2022-02-22T08:38:25-0500

Solution:

Let X1, X2 and X3 are three kits that are tested random

Xi, i=1,2,3=1 if Xi=D                    =0 if Xi=NX_{i,\ i=1,2,3}=1\ if\ X_i=D \ \ \ \ \\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ =0\ if \ X_i=N

Let, total number of test kits that are defective =d 

and total number of test kits that are non-defective =n

P[xi=D]=dd+n=p(let)\therefore P[x_ i=D]=\frac{d}{d+n}=p(\operatorname{let})

Then, x=i=13xi=x=\sum_{i=1}^{3} x i=  number of defective test kits.

Now, xix_{i} \sim  bernoulli (p)

i=13xi\therefore \sum_{i=1}^{3} x i \sim  binomial (3, p) where, p=dd+np=\frac{d}{d+n}

P[X=x]=(3x)px(1p)3x,x=0,1,2,3=0 otherwise. \begin{aligned} \therefore P[X=x] &=\left(\begin{array}{l} 3 \\ x \end{array}\right) p^{x}(1-p)^{3-x}, x=0,1,2,3 \\ &=0 \text { otherwise. } \end{aligned}


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