Introduction to Probability - AP Statistics
Card 1 of 30
State the formula for the probability of an event.
State the formula for the probability of an event.
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$P(E) = \frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}}$
$P(E) = \frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}}$
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Identify the probability of rolling a number greater than 4 on a six-sided die.
Identify the probability of rolling a number greater than 4 on a six-sided die.
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$\frac{1}{3}$. Numbers 5 and 6 out of six possibilities.
$\frac{1}{3}$. Numbers 5 and 6 out of six possibilities.
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What is the definition of probability?
What is the definition of probability?
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Probability is the measure of the likelihood of an event occurring. Quantifies the likelihood on a scale from 0 to 1.
Probability is the measure of the likelihood of an event occurring. Quantifies the likelihood on a scale from 0 to 1.
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What is the range of values for probability?
What is the range of values for probability?
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Probability values range from 0 to 1. 0 means impossible, 1 means certain.
Probability values range from 0 to 1. 0 means impossible, 1 means certain.
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Identify the probability of an impossible event.
Identify the probability of an impossible event.
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The probability of an impossible event is 0. An event that cannot occur has zero probability.
The probability of an impossible event is 0. An event that cannot occur has zero probability.
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Identify the probability of a certain event.
Identify the probability of a certain event.
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The probability of a certain event is 1. An event that must occur has probability 1.
The probability of a certain event is 1. An event that must occur has probability 1.
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What is the probability of the complement of an event?
What is the probability of the complement of an event?
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$P(E') = 1 - P(E)$. Complement probability equals 1 minus the event probability.
$P(E') = 1 - P(E)$. Complement probability equals 1 minus the event probability.
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State the addition rule for mutually exclusive events.
State the addition rule for mutually exclusive events.
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$P(A \text{ or } B) = P(A) + P(B)$. For mutually exclusive events, probabilities simply add.
$P(A \text{ or } B) = P(A) + P(B)$. For mutually exclusive events, probabilities simply add.
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State the general addition rule for any two events.
State the general addition rule for any two events.
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$P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B)$. Subtracts overlap to avoid double-counting.
$P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B)$. Subtracts overlap to avoid double-counting.
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What is the probability of independent events $A$ and $B$ both occurring?
What is the probability of independent events $A$ and $B$ both occurring?
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$P(A \text{ and } B) = P(A) \times P(B)$. For independent events, multiply individual probabilities.
$P(A \text{ and } B) = P(A) \times P(B)$. For independent events, multiply individual probabilities.
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Define conditional probability.
Define conditional probability.
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Conditional probability is the probability of an event given another event. Probability of one event assuming another has occurred.
Conditional probability is the probability of an event given another event. Probability of one event assuming another has occurred.
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State the formula for conditional probability.
State the formula for conditional probability.
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$P(A|B) = \frac{P(A \text{ and } B)}{P(B)}$. Divides joint probability by the given event's probability.
$P(A|B) = \frac{P(A \text{ and } B)}{P(B)}$. Divides joint probability by the given event's probability.
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What is the multiplication rule for dependent events?
What is the multiplication rule for dependent events?
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$P(A \text{ and } B) = P(A) \times P(B|A)$. Multiplies probability of first by conditional probability.
$P(A \text{ and } B) = P(A) \times P(B|A)$. Multiplies probability of first by conditional probability.
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Determine if events $A$ and $B$ are independent given $P(A|B) = P(A)$.
Determine if events $A$ and $B$ are independent given $P(A|B) = P(A)$.
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Events $A$ and $B$ are independent. When conditional equals marginal probability, events are independent.
Events $A$ and $B$ are independent. When conditional equals marginal probability, events are independent.
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What is the probability of either event $A$ or event $B$ if they are mutually exclusive?
What is the probability of either event $A$ or event $B$ if they are mutually exclusive?
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$P(A \text{ or } B) = P(A) + P(B)$. Mutually exclusive means no overlap, so probabilities add.
$P(A \text{ or } B) = P(A) + P(B)$. Mutually exclusive means no overlap, so probabilities add.
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Choose the term for $P(A \text{ and } B)$ when $A$ and $B$ are independent.
Choose the term for $P(A \text{ and } B)$ when $A$ and $B$ are independent.
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Joint probability. Describes the probability of both events occurring together.
Joint probability. Describes the probability of both events occurring together.
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What is meant by the sample space in probability?
What is meant by the sample space in probability?
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The sample space is the set of all possible outcomes. Contains every possible outcome of an experiment.
The sample space is the set of all possible outcomes. Contains every possible outcome of an experiment.
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Define mutually exclusive events.
Define mutually exclusive events.
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Mutually exclusive events cannot occur at the same time. Events with no shared outcomes.
Mutually exclusive events cannot occur at the same time. Events with no shared outcomes.
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Calculate $P(A')$ if $P(A) = 0.7$.
Calculate $P(A')$ if $P(A) = 0.7$.
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$P(A') = 0.3$. Using complement rule: $1 - 0.7 = 0.3$.
$P(A') = 0.3$. Using complement rule: $1 - 0.7 = 0.3$.
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Identify the correct representation for the intersection of events $A$ and $B$.
Identify the correct representation for the intersection of events $A$ and $B$.
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$A \text{ and } B$. Intersection notation for events occurring together.
$A \text{ and } B$. Intersection notation for events occurring together.
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What is the probability of drawing a heart from a standard deck of cards?
What is the probability of drawing a heart from a standard deck of cards?
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$\frac{1}{4}$ or 0.25. 13 hearts out of 52 total cards.
$\frac{1}{4}$ or 0.25. 13 hearts out of 52 total cards.
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State the probability of rolling a 3 on a fair six-sided die.
State the probability of rolling a 3 on a fair six-sided die.
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$\frac{1}{6}$. One favorable outcome out of six possible.
$\frac{1}{6}$. One favorable outcome out of six possible.
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What does the term 'outcome' refer to in probability?
What does the term 'outcome' refer to in probability?
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An outcome is a possible result of a probability experiment. A single possible result from an experiment.
An outcome is a possible result of a probability experiment. A single possible result from an experiment.
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Find the probability of rolling an even number on a six-sided die.
Find the probability of rolling an even number on a six-sided die.
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$\frac{1}{2}$. Three even numbers (2, 4, 6) out of six total.
$\frac{1}{2}$. Three even numbers (2, 4, 6) out of six total.
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Define the term 'event' in probability.
Define the term 'event' in probability.
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An event is a set of outcomes from a probability experiment. A collection of one or more outcomes.
An event is a set of outcomes from a probability experiment. A collection of one or more outcomes.
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Choose the correct term for $P(E')$.
Choose the correct term for $P(E')$.
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Complement of event $E$. Standard notation for the complement of event E.
Complement of event $E$. Standard notation for the complement of event E.
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What is the probability of drawing an ace from a standard deck of cards?
What is the probability of drawing an ace from a standard deck of cards?
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$\frac{1}{13}$. Four aces in a standard 52-card deck.
$\frac{1}{13}$. Four aces in a standard 52-card deck.
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State the formula for the probability of $A$ or $B$ when $A$ and $B$ are not mutually exclusive.
State the formula for the probability of $A$ or $B$ when $A$ and $B$ are not mutually exclusive.
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$P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B)$. General addition rule accounting for overlap.
$P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B)$. General addition rule accounting for overlap.
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What is the probability of drawing a red card from a standard deck?
What is the probability of drawing a red card from a standard deck?
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$\frac{1}{2}$. 26 red cards (hearts and diamonds) out of 52.
$\frac{1}{2}$. 26 red cards (hearts and diamonds) out of 52.
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Define what a probability distribution is.
Define what a probability distribution is.
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A probability distribution lists all the possible outcomes and their probabilities. Maps each outcome to its probability value.
A probability distribution lists all the possible outcomes and their probabilities. Maps each outcome to its probability value.
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