suppose three test kits are tested at random. let D represent the defective test kit and let N represent the non defective test kit. if we let x be the random variable for the number of defective test kits, construct the probability distribution of the random variable X
"D" and "N" are equally likely to occur.
Then we have binomial distribution with parameters
"p=\\dfrac{1}{2}"
"n=3"
Denote probability for "k" defective test kits as "P(X=k)".
Then
"P(X=k)=\\dbinom{n}{k}p^k(1-p)^{n-k}"
Probabilities for each "k" are
"P(X=0)=\\dbinom{3}{0}\\cdot\\left(\\dfrac{1}{2}\\right)^0\\cdot\\left(\\dfrac{1}{2}\\right)^3=" "\\dfrac{3!}{0!3!}\\cdot\\dfrac{1}{8}=\\dfrac{1}{8}"
"P(X=1)=\\dbinom{3}{1}\\cdot\\left(\\dfrac{1}{2}\\right)^1\\cdot\\left(\\dfrac{1}{2}\\right)^2=" "\\dfrac{3!}{1!2!}\\cdot\\dfrac{1}{8}=\\dfrac{3}{8}"
"P(X=2)=\\dbinom{3}{2}\\cdot\\left(\\dfrac{1}{2}\\right)^2\\cdot\\left(\\dfrac{1}{2}\\right)^1=" "\\dfrac{3!}{2!1!}\\cdot\\dfrac{1}{8}=\\dfrac{3}{8}"
"P(X=3)=\\dbinom{3}{3}\\cdot\\left(\\dfrac{1}{2}\\right)^3\\cdot\\left(\\dfrac{1}{2}\\right)^0=" "\\dfrac{3!}{3!0!}\\cdot\\dfrac{1}{8}=\\dfrac{1}{8}"
Check the sum of probabilities
"\\displaystyle\\sum\\limits_{k=0}^3P(X=k)=\\dfrac{1}{8}+\\dfrac{3}{8}+\\dfrac{3}{8}+\\dfrac{1}{8}=1"
Construct the probability distribution
"\\begin{array}{|c|c|c|c|c|}\\hline \\\\X&0&1&2&3\\\\ \\\\ \\hline \\\\P(X=k)&\\dfrac{1}{8}&\\dfrac{3}{8}&\\dfrac{3}{8}&\\dfrac{1}{8}\\\\ \\\\\\hline\\end{array}"
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