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Vocabulary flashcards covering core definitions, formulas, likelihood scale values, and foundational principles from the 7.PS.1 Probability Study Guide.
Probability
The study of chance and prediction.
Trial
A single test with more than one possible result.
Outcome
A possible result of a trial.
Experiment
Repeating a trial multiple times.
Sample Space
The list of all possible outcomes of a trial.
Events
A way to group outcomes (such as all even numbers).
Fair
A condition in which every outcome has an equal chance of happening.
Theoretical Probability
What should occur in an experiment, defined by the formula: P(event)=number of POSSIBLE outcomesnumber of FAVORABLE outcomes
Experimental Probability
What actually occurs during an experiment, defined by the formula: P(event)=TOTAL number of TRIALS performednumber of FAVORABLE outcomes that occur during a trial
Impossible
A likelihood scale rating corresponding to a numerical value of 0 (or 0%), such as rolling a 7 on a standard 6-sided die.
Unlikely
A likelihood scale rating corresponding to a numerical value greater than 0, but less than 21 (or 1%−49%), such as winning a raffle with 1 ticket out of 100 sold.
Equally Likely
A likelihood scale rating corresponding to a numerical value of 21 (or 50%), such as flipping a fair coin and landing on Heads.
Likely
A likelihood scale rating corresponding to a numerical value greater than 21, but less than 1 (or 51%−99%), such as pulling a red marble from a bag of 8 red and 2 blue marbles.
Certain
A likelihood scale rating corresponding to a numerical value of 1 (or 100%), such as the sun rising in the east tomorrow.
Law of Large Numbers
The principle stating that as the number of trials increases, the experimental probability gets closer to the theoretical probability.