Lesson Elementary operations on sets help solving Probability problems
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<H2>Elementary operations on sets help solving Probability problems</H2> <H3>Problem 1</H3>In a universal set U, A and B are subsets; n(A) = 24, n(B) = 60, and n(A ∩ B) = 10. Find n(A' ∩ B). <B>Solution</B> <pre> The set (A' ∩ B) is the set of those elements of B, that do not belong to A. So (A' ∩ B) is simply the difference of two subsets B and (A ∩ B) : (A' ∩ B) = B \ (A ∩ B), (*) where the symbol " \ " symbolizes subtraction of subsets. From (*), n(A' ∩ B) = n(B) - n(A ∩ B) = 60 - 10 = 50. <U>ANSWER</U> </pre> <H3>Problem 2</H3><pre> J, K, and L are events in sample space S. Pr(J)=0.35 Pr(K)=0.18 Pr(L)=0.24 Pr(J ∩ K)=0.11 Pr(J' ∩ L')=0.55 (*) Pr(K' ∩ L)=0.16 (**) What is Pr(J|K)? What is Pr(L|J)? What is Pr(K|L')?</pre>~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <B>Solution</B> 1. <U>What is Pr(J|K) ?</U> <pre> Pr(J|K) = by the definition = Pr(J ∩ K)/Pr(K) = {{{0.11/0.18}}} = {{{11/18}}}. </pre> 2. <U>What is Pr(L|J) ?</U> <pre> In the "given" part, find a line (*) related to L and J. This line is Pr(J' ∩ L')=0.55 From the elementary set theory, J' ∩ L' = (S\J) ∩ (S\L) = S \ (J U L). (Symbol " \ " means subtraction of sets.) You can prove it on your own using (or without using) Venn diagram for 2 subsets J and L in S. Also, from the basics of probability, Pr(J U L) = Pr(J) + Pr(L) - Pr((J ∩ L). These pieces are <U>THE KEY part of the solution</U>, which you <U>SHOULD and MUST understand</U> <U>when solving such problems</U> ! Therefore, 0.55 = Pr(J' ∩ L') = 1 - (Pr(J) + Pr(L)) + Pr((J ∩ L). which implies Pr(J ∩ L) = 0.55 + Pr(J) + Pr(L) - 1 = 0.55 + 0.35 + 0.24 - 1 = 0.14. Therefore, Pr(L|J) = by the definition = Pr(L∩J)/Pr(K) = {{{0.14/0.35}}} = {{{2/5}}}. </pre> 3. <U>What is Pr(K|L')?</U> <pre> By the definition, Pr(K|L') = P(K ∩ L')/P(L'). Pr(L') = 1 - Pr(L) = 1 - 0.24 = 0.76. What is P(K ∩ L') ? In the "given" part, find a line (**) related to K and L. This line is Pr(K' ∩ L)=0.16. The set (K' ∩ L) is "L without K", or, in other words, L\ (L ∩ K). Hence, Pr((K' ∩ L) = 0.16 = Pr(L) - Pr(L ∩ K), which gives Pr(L ∩ K) = Pr(L) - 0.16 = 0.024 - 0.16 = 0.08. The set (K ∩ L') is "K without L", or, in other words, K\ (L ∩ K). Hence, Pr(K ∩ L') = 0.18 - Pr(L ∩ K) = 0.18 - 0.08 = 0.10. Thus finally Pr(K|L') = {{{0.10/0.76}}} = {{{5/38}}}. </pre> <H3>Problem 3</H3>Let A and B be events with P(A) = 1/3, P(B) = 1/4 and P(AUB) = 1/2. Find the P(A ∩ B' ). <B>Solution</B> <pre> You may consider A and B as the subsets of the universal set U. Then (A ∩ B') = A \ (A ∩ B). ( Elements of A that are not in B ) The sign " \ " means subtraction of sets ) Therefore, you need first to find P(A ∩ B) and then subtract it from P(A). Step 1. P((A ∩ B) = P(A) + P(B) - P(AUB) = {{{1/3}}} + {{{1/4}}} - {{{1/2}}} = {{{(4+3-6)/12}}} = {{{1/12}}}. Step 2. P(A ∩ B') = P(A \ (A ∩ B)) = P(A) - P((A ∩ B) = {{{1/3}}} - {{{1/12}}} = {{{4/12}}} - {{{1/12}}} = {{{3/12}}} = {{{1/4}}}. <U>Answer</U>. P(A ∩ B') = {{{1/4}}} </pre> <H3>Problem 4</H3>Assume three events A, B, C are such that p(A)= 0.5, p(B)= 0.6, p(C)= 0.4, p(AnB)= 0.3, p(AnC)= 0.1, p(BnC)= 0.2, and p(AnBnC)= 0.05. Find (1) p(AnBnC') (2) p(AuBuC) (3) p(A'nBnC') <B>Solution</B> (1) <U>P(A n B n C')</U> <pre> To calculate P(A n B n C'), notice that (A n B n C') are those elements (events) of (A n B) that do not belong to C; in other words, (A n B n C') = (A n B) \ (A n B n C), (1) where the sign " \ " denotes subtraction of sets (of subsets). Then equality (1) implies that P(A n B n C') = P(A n B) - P(A n B n C) = (substitute the given data) = 0.3 - 0.05 = 0.25. <U>ANSWER</U> </pre> (2) <U>P(A U B U C)</U> <pre> Use the formula P(A U B U C) = P(A) + P(B) + P(C) - P(AnB) - P(AnC) - P(BnC) + P(A n B n C) (2) which is valid for any subsets A, B and C of the universal set U. This formula is very well known in elementary set theory. If you do not know its proof, here it is in few lines: Without my explanations, you understand well why I added P(A), P(B) and P(C) in the right side of the formula (2). But when I added these terms, I counted the intersections P(AnB), P(AnC) and P(BnC) twice - so I need to subtract these terms in the right side of the formula (2). But again, when I added the terms P(A), P(B) and P(C) in the right side of the formula (2), I counted the intersection P(A n B n C) thrice. When I later subtracted the terms P(AnB), P(AnC) and P(BnC), I fully compensate it, but now this intersection is not covered in the formula at all. Therefore I must add the term P(A n B n C), and this last step makes everything in equilibrium / (in balance). <U>The proof is completed</U>. Now, when the formula (2) is proved, simply substitute the given input data in it. You will get P(A U B U C) = 0.5 + 0.6 + 0.4 - 0.3 - 0.1 - 0.2 + 0.05 = 0.95 <U>ANSWER</U> </pre> (3) <U>P(A' n B n C')</U> <pre> To calculate P(A' n B n C'), notice that (A' n B n C') are those elements (events) of B that do belong NEITHER A NOR C; in other words, (A' n B n C') = (B \ (A n B) \ (C n B)) (3) Then equality (2) implies that P(A' n B n C') = P(B \ (A n B) \ (C n B)) = (P(B) - P(AnB)) + (P(B) - P(CnB)) + P(A n B n C) (4) Notice that in the right side of the formula (4), I subtracted the probability P(AnB) from P(B), then subtracted P(CnB) from P(B), so I subtracted the probability P(AnC) of the intersection (AnC) twice; therefore, I should add P(A n B n C) to restore the equilibrium. Substitute the given data into the formula (4), you get <U>the ANSWER</U> P(A' n B n C') = (0.6 - 0.3 - 0.2) + 0.05 = 0.15. 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