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4 of 4 objectives have lessons · 0 studied · 0 secure
What Cambridge says you should be able to do, in our words. Codes are the topic number plus the objective’s position.
Evaluate probabilities in simple cases by enumerating equiprobable elementary events, or by calculation using permutations or combinations.
Examples: the total score when two fair dice are thrown; drawing balls at random from a bag containing balls of different colours.
Taught in: Counting outcomes with permutations and combinations, Sample spaces and equally likely outcomes · 10 questions
Use addition and multiplication of probabilities, as appropriate, in simple cases.
Explicit use of the general formula P(A ∪ B) = P(A) + P(B) − P(A ∩ B) is not required.
Taught in: Independent events and multiplying probabilities, Mutually exclusive events and adding probabilities, Tree diagrams for multi-stage experiments · 13 questions
Understand the meaning of exclusive and independent events, including determining whether events A and B are independent by comparing the values of P(A ∩ B) and P(A) × P(B).
Taught in: Conditional probability, Independent events and multiplying probabilities, Mutually exclusive events and adding probabilities · 5 questions
Calculate and use conditional probabilities in simple cases.
For example, situations that can be represented by a sample space of equiprobable elementary events, or by a tree diagram. Use of P(A|B) = P(A ∩ B)/P(B) may be required in simple cases.
Taught in: Conditional probability, Tree diagrams for multi-stage experiments · 8 questions