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Events, unions and complements

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  1. Union of two events on a loaded die ●○○○○ 10 ptsA loaded (unfair) die is tossed. Let AA be the event "an even number is observed" and BB be the event "a number less than 3 is observed". Given P(A)=0.4P(A)=0.4, P(B)=0.3P(B)=0.3 and P(A∩B)=0.1P(A\cap B)=0.1, find P(A∪B)P(A\cup B).
  2. Conditional probabilities from given data ●○○○○ 10 ptsGiven P(E)=0.5P(E)=0.5, P(F)=0.7P(F)=0.7 and P(E∩F)=0.3P(E \cap F)=0.3, find P(E∣F)P(E\mid F) and P(F∣E)P(F\mid E). Round each answer to two decimal places.
  3. Union probability from given values ●○○○○ 10 ptsGiven P(A)=0.6P(A)=0.6, P(B)=0.5P(B)=0.5 and P(A∣B)=0.3P(A\mid B)=0.3, find P(A∪B)P(A\cup B). Give your answer as a decimal.
  4. Probability of A from two unions ●●○○○ 20 ptsGiven P(A∪B)=0.7P(A \cup B)=0.7 and P(A∪B′)=0.9P(A \cup B')=0.9, determine P(A)P(A).
  5. Combining four experts about a label ●●○○○ 20 ptsFour independent experts have probabilities p1=0.8p_1=0.8, p2=0.7p_2=0.7, p3=0.6p_3=0.6 and p4=0.5p_4=0.5 of being correct about a binary label L∈{+1,−1}L\in\{+1,-1\}, with a uniform prior on LL. Expert 1 reports L1=−1L_1=-1, expert 2 reports L2=+1L_2=+1 and expert 3 reports L3=+1L_3=+1 (expert 4's report is not given). Using the classifier C(S)=∑iLi2log⁡(pi1−pi)C(S)=\sum_i \frac{L_i}{2}\log\left(\frac{p_i}{1-p_i}\right), find Pr⁡(L=+1∣S)\Pr(L=+1\mid S). Round to two decimal places.
  6. False propositions about events ●●○○○ 20 ptsConsider the following five propositions. ① Toss a coin twice. Let event AA be "both tosses land heads" and event BB be "both tosses land tails"; then AA and BB are complementary events. ② In proposition ①, AA and BB are mutually exclusive events. ③ Among 10 products, 3 are defective. Three products are selected at random. Let event AA be "at most 2 of the selected products are defective" and event BB be "at least 2 of the selected products are defective"; then AA and BB are mutually exclusive events. ④ If events AA and BB satisfy P(A)+P(B)=1P(A)+P(B)=1, then AA and BB are complementary events. ⑤ If AA and BB are mutually exclusive events, then A‾∪B‾\overline{A}\cup\overline{B} is a certain event. Identify all the false propositions among these five and give their numbers, in increasing order.
  7. Rebid probability for close bids ●●●○○ 50 ptsTwo construction companies make bids XX and YY on a remodeling project. The joint density of XX and YY is uniform on the rectangle 2<x<2.52<x<2.5, 2<y<2.32<y<2.3. If XX and YY are within 0.1 of each other, the companies are asked to rebid; otherwise the lower bidder gets the contract. Find the probability that the companies are asked to rebid. Round to two decimal places.
  8. Smallest p for triple intersection ●●●○○ 50 ptsLet events AA, BB and CC satisfy P(A)=P(B)=P(C)=pP(A)=P(B)=P(C)=p. Find the infimum of the values of pp for which P(A∩B∩C)>0.95P(A\cap B\cap C)>0.95 holds for every possible joint distribution of AA, BB and CC. Round to four decimal places.

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