A large store places its 15 television sets in a clearance sale unknown to anyone, 5 of the
television sets are defective. If a customer tests 3 different television sets selected at random,
what is the probability distribution of number of defective television sets in the sample?
Let X will be the number of defective television sets is the sample.
X ={0, 1, 2, 3}
The total number of ways to select 3 items from 15:
"N_t = \\frac{15!}{3!(15-3)!} \\\\\n\n= \\frac{13 \\times 14 \\times 15}{2 \\times 3} \\\\\n\n= 455"
For X=0 (no defective items)
The number of ways to select 3 items from (15-5) = 10 :
"N = \\frac{10!}{3!(10-3)!} \\\\\n\n= \\frac{8 \\times 9 \\times 10}{2 \\times 3} \\\\\n\n= 120 \\\\\n\nP(X=0) = \\frac{120}{455}=0.2637"
For (X=1) (one defective and two non-defective)
The number of ways to select one defective item from 5 :
"N_1 = \\frac{5!}{1!(5-1)!} = 5"
The number of ways to select two non-defective items from 10:
"N_2 = \\frac{10!}{2!(10-2)!}= \\frac{9 \\times 10}{2}= 45 \\\\\n\nP(X=1) = \\frac{5 \\times 45}{455}=0.4945"
For (X=2) (two defective and one non-defective)
The number of ways to select two defective items from 5 :
"N_1 = \\frac{5!}{2!(5-2)!} = \\frac{20}{2} = 10"
The number of ways to select one non-defective item from 10:
"N_2 = \\frac{10!}{1!(10-1)!}= 10 \\\\\n\nP(X=2) = \\frac{10 \\times 10}{455}= 0.2197"
For X=3 (three defective items)
The number of ways to select three defective items from 5 :
"N = \\frac{5!}{3!(5-3)!} = \\frac{20}{2} = 10 \\\\\n\nP(X=3) = \\frac{10}{455}=0.0219"
The probability distribution of number of defective television sets in the sample
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