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4. (30 points) A statistics exam has five easy questions and three hard questions. You have six friends who are in the class,

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a) \ P(all\ correct)=(0.95^{5})(0.8^{3})=0.3961 ; \\ b) \ P(all\ correct\ by\ mod\ prep) = (0.8^{5})(0.6666^{3}) = 0.09706 ; \\ c)\ P(VP|all\ correct) = \frac{P(all\ correct|VP)P(VP)}{P(all\ correct)} ; \\ P(all\ correct|VP)=0.3961 ; \ \ P(VP) = (1/6) ; \\ P(all\ correct)=P(all\ correct|VP) P(VP) + P(all\ correct|MP) P(MP) ; \\ P(MP)=5/6 ; \ P(all\ correct|MP)=0.09706 ; \\ P(all\ correct)=0.1469 ; \ \ P(VP|all\ correct)=0.44939 ; \\ d) \ Let, \ X_{i}=1; \ if\ i^{th}\ easy\ que\ is\ correct\ by\ well\ prepared\ stud. \\ X_{i}=0; otherwise, \ \forall i=1,2,...,5 ; \ \ Y_{i}=1; \ if\ i^{th}\ hard\ que\ is\ correct\ by\ well\ prepared, \ Y_{i}=0; \ otherwise, \ Then , \\ VP = \sum_{i=1}^{5}X_{i}+\sum_{i=1}^{3}Y_{i} ; \\ E(X_{i}) = 1*0.95 = 0.95 ; \ E(Y_{i}) = 1*0.8 = 0.8 ; \\ So, \ E(VP) = 5*0.95 + 3*0.8 = 7.15

e) \ Var(D) = Var(VP)\ + Var(\frac{M_{1}+..+M_{5}}{5}) ; \\ = Var(VP) + (1/25)Var(M_{1}+...+M_{5}) ; \\ For\ i=1,...5, M_{i} = Y_{1}+....+Y_{5}+Z_{6}+...+Z_{8} ; \\ Y_{i} = 1\ if\ easy\ question\ i^{th}\ is\ answered\ correctly\ by\ a\ moderately\ prepared \\ student. ; \ else\ Y_{i}=0 \ \ \forall\ i=1,...,5 ; \ \\ Now,\ define\ Z_{j}=1; \ if\ hard\ question\ j^{th}\ is\ answered\ correctly\ \\ by\ moderate\ student, \ else\ Z_{j}=0 ; \ j=6,7,8 . \\ Then, \ \forall \ i=1,...5, \ E(Y_{i}) = 1*P(Y_{i}=1) = 0.8 ; \\ \forall\ j=6,7,8 \ E(Z_{j}) = 1*0.6666 = 0.66666 \\ So, \ E(M_{i}) = 5*0.8 + 3*0.6666 = 5.999998 ; \\

E(M_{i}^{2}) = \sum_{i=1}^{5}E(Y_{i}^{2}) + \sum_{j=6}^{8}E(Z_{j}^{2}) + 2\left(E(Y_{1}Y_{2}) + .... +E(Y_{4}Y_{5}) \right) \\ + 2\left(E(Y_{1}Z_{6})+E(Y_{1}Z_{7})+....+E(Y_{5}Z_{8}) \right ) + 2\left(E(Z_{6}Z_{7})+...E(Z_{7}Z_{8}) \right ) \\ Since, \ Y_{i}'s \ and\ Z_{j}'s\ are\ independent, \ E(Y_{i}Y_{j})=E(Y_{i})E(Y_{j}) = 0.64 ; \\ E(Z_{i}Z_{j})=E(Z_{i})E(Z_{j})= 0.4444 \\ ; \ E(Y_{i}Z_{j})=E(Y_{i})E(Z_{j}) = 0.8*0.66666 = 0.5333 \\ E(Y_{i}^{2}) = 1*P(Y_{i}=1) = E(Y_{i})=0.8 ;\ similarly, \ E(Z_{j}^{2})=0.66666 \\ So, \ E(M_{i}^{2}) = 5*0.8 + 3*0.66666 + 2*10*(0.64) + 2*15*0.5333 \\ + 2*3*0.4444 = 37.465 ; \ \ Var(M_{i})=E(M_{i}^{2}) - (E(M_{i}))^{2} = 1.4654 \\ Now\ Var(VP) \ can\ be\ similarly\ calculated\ by\ using\ \ appropriate \\ probabilities. \ So, \ Var(VP)=0.7175 ; \\ Now, \ Var(D)=0.7175 + (1/25)*5*1.4654 = 1.01058

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