What this deck covers
This deck focuses on Introduction To Probability, giving you a quick way to review the definitions, rules, and examples that matter most for AP Statistics.
Study Introduction To Probability in AP Statistics with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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Identify the correct representation for the intersection of events A and B.
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A and B. Intersection notation for events occurring together.
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This deck focuses on Introduction To Probability, giving you a quick way to review the definitions, rules, and examples that matter most for AP Statistics.
Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.
Answer: A and B. Intersection notation for events occurring together.
Answer: The probability of a certain event is 1. An event that must occur has probability 1.
Answer: 31. Numbers 5 and 6 out of six possibilities.
Answer: The sample space is the set of all possible outcomes. Contains every possible outcome of an experiment.
Answer: The probability is 1. Certain events have maximum probability.
Answer: Conditional probability. Represents probability of A given that B occurred.
Answer: 21. Two equally likely outcomes: heads or tails.
Answer: 21. 26 red cards (hearts and diamonds) out of 52.
Answer: 61. One favorable outcome out of six possible.
Answer: A and B. Intersection notation for events occurring together.
Answer: The sample space is the set of all possible outcomes. Contains every possible outcome of an experiment.
Answer: P(A and B)=P(A)×P(B∣A). Multiplies probability of first by conditional probability.
Answer: P(A or B)=P(A)+P(B). Mutually exclusive means no overlap, so probabilities add.
Answer: P(E′)=1−P(E). Standard complement rule formula.
Answer: The occurrence of one event does not affect the probability of the other. Knowledge of one event doesn't change the other's probability.
Answer: The occurrence of one event does not affect the probability of the other. Knowledge of one event doesn't change the other's probability.
Answer: A simple event consists of a single outcome. Contains exactly one outcome from the sample space.
Answer: P(A∣B)=P(B)P(A and B). Divides joint probability by the given event's probability.
Answer: 21. Two equally likely outcomes: heads or tails.
Answer: P(A and B)=P(A)×P(B). For independent events, multiply individual probabilities.
Answer: P(A or B)=P(A)+P(B). Mutually exclusive means no overlap, so probabilities add.
Answer: 41 or 0.25. 13 hearts out of 52 total cards.
Answer: Conditional probability. Represents probability of A given that B occurred.
Answer: An event is a set of outcomes from a probability experiment. A collection of one or more outcomes.
Answer: P(A or B)=P(A)+P(B)−P(A and B). General addition rule accounting for overlap.
Answer: Conditional probability is the probability of an event given another event. Probability of one event assuming another has occurred.
Answer: P(E′)=1−P(E). Standard complement rule formula.
Answer: P(A or B)=0.9. Add probabilities since events cannot overlap.
Answer: Probability is the measure of the likelihood of an event occurring. Quantifies the likelihood on a scale from 0 to 1.
Answer: An event is a set of outcomes from a probability experiment. A collection of one or more outcomes.
Answer: The probability of an impossible event is 0. An event that cannot occur has zero probability.
Answer: 21. Three even numbers (2, 4, 6) out of six total.
Answer: 21. Three even numbers (2, 4, 6) out of six total.
Answer: A probability distribution lists all the possible outcomes and their probabilities. Maps each outcome to its probability value.
Answer: P(E′)=1−P(E). Complement probability equals 1 minus the event probability.
Answer: P(A and B)=0.2. Multiply probabilities: 0.4×0.5=0.2.
Answer: P(A and B)=0.2. Multiply probabilities: 0.4×0.5=0.2.
Answer: 61. One favorable outcome out of six possible.
Answer: 21. 26 red cards (hearts and diamonds) out of 52.
Answer: 131. Four aces in a standard 52-card deck.
Answer: P(A′)=0.3. Using complement rule: 1−0.7=0.3.
Answer: P(A or B)=P(A)+P(B)−P(A and B). General addition rule accounting for overlap.
Answer: 131. Four aces in a standard 52-card deck.
Answer: P(A and B)=P(A)×P(B). For independent events, multiply individual probabilities.
Answer: P(A′)=0.3. Using complement rule: 1−0.7=0.3.
Answer: P(E′)=1−P(E). Complement probability equals 1 minus the event probability.
Answer: P(A or B)=P(A)+P(B)−P(A and B). Subtracts overlap to avoid double-counting.
Answer: P(A and B)=P(A)×P(B∣A). Multiplies probability of first by conditional probability.
Answer: Mutually exclusive events cannot occur at the same time. Events with no shared outcomes.
Answer: A simple event consists of a single outcome. Contains exactly one outcome from the sample space.
Answer: Events A and B are independent. When conditional equals marginal probability, events are independent.
Answer: The probability of a certain event is 1. An event that must occur has probability 1.
Answer: Probability values range from 0 to 1. 0 means impossible, 1 means certain.
Answer: Joint probability. Describes the probability of both events occurring together.
Answer: P(A or B)=0.9. Add probabilities since events cannot overlap.
Answer: Complement of event E. Standard notation for the complement of event E.
Answer: Probability values range from 0 to 1. 0 means impossible, 1 means certain.
Answer: P(A or B)=P(A)+P(B). For mutually exclusive events, probabilities simply add.
Answer: A probability distribution lists all the possible outcomes and their probabilities. Maps each outcome to its probability value.
Answer: P(E)=Total number of outcomesNumber of favorable outcomes. Classic formula dividing favorable by total outcomes.
Answer: P(E)=Total number of outcomesNumber of favorable outcomes
Answer: P(A∣B)=P(B)P(A and B). Divides joint probability by the given event's probability.
Answer: Mutually exclusive events cannot occur at the same time. Events with no shared outcomes.
Answer: Events A and B are independent. When conditional equals marginal probability, events are independent.
Answer: 31. Numbers 5 and 6 out of six possibilities.
Answer: The probability is 1. Certain events have maximum probability.
Answer: P(A or B)=P(A)+P(B). For mutually exclusive events, probabilities simply add.
Answer: Complement of event E. Standard notation for the complement of event E.
Answer: The probability of an impossible event is 0. An event that cannot occur has zero probability.
Answer: The probability that event A does not occur. Standard notation for complement probability.
Answer: Joint probability. Describes the probability of both events occurring together.
Answer: Probability is the measure of the likelihood of an event occurring. Quantifies the likelihood on a scale from 0 to 1.
Answer: An outcome is a possible result of a probability experiment. A single possible result from an experiment.
Answer: P(A or B)=P(A)+P(B)−P(A and B). Subtracts overlap to avoid double-counting.
Answer: Conditional probability is the probability of an event given another event. Probability of one event assuming another has occurred.
Answer: The probability that event A does not occur. Standard notation for complement probability.
Answer: An outcome is a possible result of a probability experiment. A single possible result from an experiment.
Answer: 41 or 0.25. 13 hearts out of 52 total cards.