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9709 · 5.3

Probability flashcards

Revision flashcards for Cambridge 9709 Probability (syllabus 5.3). Flip, recall, then mark a real past-paper question.

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    What is the range of a probability value?

    A probability $P(A)$ must be between 0 and 1, inclusive. $0 \le P(A) \le 1$.

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    What is a 'sample space'?

    The set of all possible outcomes of an experiment. Denoted by $S$ or $\Omega$.

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    What is the formula for a complementary event, $A'$?

    $P(A') = 1 - P(A)$. This is the probability that event A does *not* occur.

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    What are 'mutually exclusive' events?

    Events that cannot happen at the same time. If A and B are mutually exclusive, then $P(A \cap B) = 0$.

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    What is the addition rule for two mutually exclusive events, A and B?

    $P(A \cup B) = P(A) + P(B)$.

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    What are 'independent' events?

    The occurrence of one event does not affect the probability of the other. For independent events A and B, $P(A|B) = P(A)$.

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    What is the multiplication rule for two independent events, A and B?

    $P(A \cap B) = P(A) \times P(B)$.

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    What is the general addition rule for any two events, A and B?

    $P(A \cup B) = P(A) + P(B) - P(A \cap B)$. This accounts for any overlap.

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    What does the notation $P(A|B)$ mean?

    The conditional probability of A occurring, *given that* B has already occurred.

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    What is the formula for conditional probability, $P(A|B)$?

    $P(A|B) = \frac{P(A \cap B)}{P(B)}$.

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    Common Trap: Can two events with non-zero probabilities be both mutually exclusive and independent?

    No. If they are mutually exclusive, $P(A \cap B) = 0$. If they were also independent, this would require $P(A) \times P(B) = 0$, which means at least one event must have zero probability.