The intersection of two events A and B, denoted by A ∩ B, is the event consisting of all outcomes that are in A and B.
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Q2: Two events A and B are independent
Q3: Combinations are used when the order in
Q4: Bayes' theorem is used to update prior
Q5: Bayes' theorem uses the total probability rule
Q6: Two events A and B can be
Q8: Mutually exclusive events may share common outcomes
Q9: Consider these events.
A = The survey respondent
Q10: Subjective probability is assigned to an event
Q11: The total probability rule is useful only
Q12: The probability of a union of events
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