a. Let "<\\Omega,F,P>" is a probability space. Random events "A" and "B" from "F" are said to be independent if "P(A\\bigcap B)=P(A)\\cdot P(B)."
b. i) Let random event "A" is "the first customer is female", random event "B" is "the second customer is female", random event "C" is "the third customer is female". Then "P(A\\bigcap B\\bigcap C)=P(A)\\cdot P(B)\\cdot P(C)=(0.65)^3\\approx 0.275"
(events "A, B \\text{ and } C \\text{ are collectively independent)}."
ii) Probability that the customer is male equals "1-0.65=0.35."
Let random event "A" is "the first customer is male", random event "B" is "the second customer is male", random event "C" is "the third customer is male". Then "P(A\\bigcap B\\bigcap C)=P(A)\\cdot P(B)\\cdot P(C)=(0.35)^3\\approx 0.043"
(events "A", "B" and "C" are collectively independent).
iii) We have to find probability that at least one (the first, the second or the the third) customer is male:
"P=1-0.275=0.725" (events "all three customers are female" and "at least one customer is male" are opposite).
c. Random events:
"A" --- "did not have an accident"
"B" --- "had an accident"
"C" --- "had instructions"
"D" --- "did not have instructions"
We have:
"P(A)=0.99\\\\\nP(B)=0.01\\\\\nP(C)=0.1\\\\\nP(D)=0.9\\\\\nP(C|B)=0.4\\\\\nP(D|B)=0.6"
We should find "P(A|D)" and "P(A|C)."
"P(A|D)=\\frac{P(A)\\cdot P(D|A)}{P(D)}\\\\\nP(D)=P(A)P(D|A)+P(B)P(D|B)\\\\\n0.9=0.99P(D|A)+(0.01)(0.6)\\\\\nP(D|A)\\approx 0.903.\\\\\ni) P(A|D)=\\frac{(0.99)(0.903)}{0.9}=0.9933.\\\\\nP(A|C)=\\frac{P(A)\\cdot P(C|A)}{P(C)}\\\\\nP(C|A)=1-P(D|A)=1-0.903=0.097\\\\\nii) P(A|C)=\\frac{(0.99)(0.097)}{0.1}=0.9603."
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