7.PS.1 Probability Study Guide

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Vocabulary flashcards covering core definitions, formulas, likelihood scale values, and foundational principles from the 7.PS.1 Probability Study Guide.

15 Terms

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Probability

The study of chance and prediction.

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Trial

A single test with more than one possible result.

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Outcome

A possible result of a trial.

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Experiment

Repeating a trial multiple times.

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Sample Space

The list of all possible outcomes of a trial.

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Events

A way to group outcomes (such as all even numbers).

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Fair

A condition in which every outcome has an equal chance of happening.

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Theoretical Probability

What should occur in an experiment, defined by the formula: P(event)=number of FAVORABLE outcomesnumber of POSSIBLE outcomesP(\text{event}) = \frac{\text{number of FAVORABLE outcomes}}{\text{number of POSSIBLE outcomes}}

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Experimental Probability

What actually occurs during an experiment, defined by the formula: P(event)=number of FAVORABLE outcomes that occur during a trialTOTAL number of TRIALS performedP(\text{event}) = \frac{\text{number of FAVORABLE outcomes that occur during a trial}}{\text{TOTAL number of TRIALS performed}}

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Impossible

A likelihood scale rating corresponding to a numerical value of 00 (or 0%0\%), such as rolling a 7 on a standard 6-sided die.

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Unlikely

A likelihood scale rating corresponding to a numerical value greater than 00, but less than 12\frac{1}{2} (or 1%−49%1\% - 49\%), such as winning a raffle with 1 ticket out of 100 sold.

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Equally Likely

A likelihood scale rating corresponding to a numerical value of 12\frac{1}{2} (or 50%50\%), such as flipping a fair coin and landing on Heads.

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Likely

A likelihood scale rating corresponding to a numerical value greater than 12\frac{1}{2}, but less than 11 (or 51%−99%51\% - 99\%), such as pulling a red marble from a bag of 8 red and 2 blue marbles.

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Certain

A likelihood scale rating corresponding to a numerical value of 11 (or 100%100\%), such as the sun rising in the east tomorrow.

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Law of Large Numbers

The principle stating that as the number of trials increases, the experimental probability gets closer to the theoretical probability.