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Question 25 of 44

Q.For three mutually exclusive and exhaustive events AA, BB and CC in the sample space of a random experiment 2P(A)=3P(B)=4P(C)2P(A) = 3P(B) = 4P(C). Find P(B∪C)P(B \cup C).

Gujarat GsebGujarat Board (GSEB) HSC Commerce Board 2022Subjective· 3mImportance★★★★★
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Let 2P(A)=3P(B)=4P(C)=k2P(A)=3P(B)=4P(C)=k; then P(A)=k2,P(B)=k3,P(C)=k4P(A)=\tfrac{k}{2},P(B)=\tfrac{k}{3},P(C)=\tfrac{k}{4}, and ΣP=1⇒k=1213\Sigma P=1\Rightarrow k=\tfrac{12}{13}. So P(B∪C)=713P(B\cup C)=\tfrac{7}{13}.

Given: A,B,CA,B,C are mutually exclusive and exhaustive, and 2P(A)=3P(B)=4P(C)2P(A)=3P(B)=4P(C).

Step 1 — express in a common kk. Let 2P(A)=3P(B)=4P(C)=k2P(A)=3P(B)=4P(C)=k. Then

P(A)=k2,P(B)=k3,P(C)=k4.P(A)=\frac{k}{2},\qquad P(B)=\frac{k}{3},\qquad P(C)=\frac{k}{4}.

Step 2 — use exhaustiveness (ΣP=1\Sigma P=1).

k2+k3+k4=1 ⇒ k(6+4+312)=1 ⇒ k⋅1312=1 ⇒ k=1213.\frac{k}{2}+\frac{k}{3}+\frac{k}{4}=1\ \Rightarrow\ k\left(\frac{6+4+3}{12}\right)=1\ \Rightarrow\ k\cdot\frac{13}{12}=1\ \Rightarrow\ k=\frac{12}{13}.

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