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1. (10 marks) (a) Let m events Bi, , Bm form a partition of the sample space Ω and let event A be any event such that A c S2.
Explain how P(A1/Bj) can be expressed as 10 and show that P(Ai) =豆. Note: It may be useful to recall that the sum for a arith
1. (10 marks) (a) Let m events Bi, , Bm form a partition of the sample space Ω and let event A be any event such that A c S2. Then show that given Bi > 0 for j = 1,.. ., m (b) Considcr a clinical trial where group of paticnts arc trcated for depression. As in many such trials a patient has two possible out- comes, in this study a relapse and no relapse. Refer to a relapse as a "failure" and a no relapse as a "success". The trial treats de- pression with Lithium and assumes that each patient in the group has the same probability p of having a success as their outcome. Assume that we do not know the value of p at the start of the clinical trial. Since this value of p is an important source of uncer- tainty in the trial, the clinician conducting the trial partitions the sample space by the possible values of p. She uses the following 11 possibilities 0,1/10,2/10,...,9/10 and 1 for p. Let B; be the event that p for j 1,...,11, and assume that the Bys are all equally probable events. Now let A1 be the event that the first patient in the group has a succesS.
Explain how P(A1/Bj) can be expressed as 10 and show that P(Ai) =豆. Note: It may be useful to recall that the sum for a arithmetic series satisfies ri
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Answer #1

P(A)=P(A\cap B_1)+P(A\cap B_2)+P(A\cap B_3)+...+P(A\cap B_m)

=\sum_{j=1}^{m}P(A\cap B_j)

Since A\cap B_1, A\cap B_2, A\cap B_3...A\cap B_m are all mutually exclusive because B_1, B_2, B_3... B_m are mutually exclusive or disjoint So addition theorem applies where A=(A\cap B_1)U(A\cap B_2)U(A\cap B_3)U...U(A\cap B_m)

Since A and Bj are dependent we can write

\sum_{j=1}^{m}P(A\cap B_j) =\sum_{j=1}^{m}P(A/B_j)*P(B_j)

Hence we haveP(A)=\sum_{j=1}^{m}P(A/B_j)*P(B_j)..............(1)

b)If B1 happens then Probability of A1 ie the probability of success is 0

Similarly if B2 happens then  Probability of A1 ie the probability of success is 1/10

Hence in general P(A1/Bj) ie Probability of A1 given Bj happens is \frac{j-1}{10}

Now to get P(A_1) we apply equation (1)

ie P(A_1)=\sum_{j=1}^{m}P(A_1/B_j)*P(B_j)

=0*1/11+\frac{1}{10}*\frac{1}{11}+\frac{2}{10}*\frac{1}{11}+....+1*\frac{1}{11}

=\frac{1}{10}*\frac{1}{11}[1+2+3+...+10]

=\frac{1}{10}*\frac{1}{11}[\frac{10*11}{2}]=\frac{1}{2} (the formula for sum of arithmetic series from 1 to 10 is used.)

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