Intro to theoretical probabilityExperimental versus theoretical probability simulationTheoretical and experimental probability: Coin flips and die rollsRandom number list to run experimentRandom numbers for experimental probabilityStatistical significance of experiment
AP Stats: VAR (BI), VAR‑4 (EU), VAR‑4.A (LO), VAR‑4.A.4 (EK), VAR‑4.D (LO), VAR‑4.D.2 (EK), VAR‑4.E (LO), VAR‑4.E.1 (EK), VAR‑4.E.2 (EK)
Compound probability of independent eventsIndependent events example: test takingFree-throw probabilityThree-pointer vs free-throw probabilityDependent probability introductionThe general multiplication ruleCoin flipping probabilityProbabilities involving "at least one" success
AP Stats: VAR (BI), VAR‑4 (EU), VAR‑4.D (LO), VAR‑4.D.1 (EK), VAR‑4.E (LO), VAR‑4.E.1 (EK), VAR‑4.E.2 (EK)
Conditional probability and independenceConditional probability with Bayes' TheoremConditional probability using two-way tablesConditional probability and independenceConditional probability tree diagram exampleTree diagrams and conditional probability
This unit on probability covers how to use simulations to calculate experimental probabilities and a variety of other methods (the addition rule, the multiplication rule, conditional probability) for calculating probability. Later, we'll use our understanding of probability to answer statistical questions.
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