Probability — purpose?
Quantify likelihood of outcomes.
Contingency table — frequencies?
Counts or proportions of characteristics.
Experiments and events — vocab?
Experiments produce outcomes; events are outcome sets.
Conditional probability — definition?
Probability of A given B: P(A∩B)/P(B).
Weighted trees — function?
Represent sequential choices with probabilities.
Total probability — formula?
P(A)=P(A∩B)+P(A∩B̄).
Independence — criterion?
P(A∩B)=P(A)×P(B).
Experiment — what?
Procedure with unpredictable outcomes.
Event — what?
Subset of the sample space.
Conditional probability — interpretation?
Probability of A restricted to B's universe.
Path probability — rule?
Product of branch probabilities along the path.
Tree inversion — purpose?
Rearrange tree to find missing probabilities.
Product rule — for independent events?
P(A∩B)=P(A)×P(B).
Successive experiments — independence?
Results do not affect each other.
Testez vos connaissances avec un QCM de 14 questions sur Fundamentals of Probability and Independence.
1. What is the main purpose of probability in studying a random experiment?
2. What does a conditional probability calculation do to the reference universe?
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