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Vocabulary flashcards defining key probability, statistics, and data representation terms from the Year 9 Probability workbook.
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Probability
A measure of the chance of an event happening, which must be between 0 and 1 inclusive and can be written as a decimal, fraction, or percentage.
Outcome
One possible result of an experiment.
Event
Something which has a number of outcomes.
Sample Space
A list of all the possible outcomes of an experiment.
Trial
A single run through of an experiment.
Frequency
The number of times an event occurs.
Relative Frequency
The calculated ratio Relative Frequency=Total number of outcomesFrequency of outcome.
Equally Likely
Outcomes that have the same chance of occurring.
Independent Events
Events that do not affect or are not affected by another event.
Theoretical Probability
Probability calculated using the formula P(event)=total number of outcomesnumber of ways it can happen.
Mutually Exclusive Events
Events that cannot occur together.
Law of Large Numbers
The principle stating that as the number of trials increases, experimental probability approaches theoretical probability.
Long Run Frequency
The estimated probability calculated from simulations or experiments, which becomes more accurate and stable as the number of trials increases.
Discrete Data
Count data that has values that are whole numbers.
Continuous Data
Measurements that can have any value in a given range.
Mean
The average of a set of scores.
Median
The middle value when scores are arranged in order of size in ascending or descending order.
Mode
The score or outcome that occurs the most.
Range
The difference between the highest and the lowest scores.
Variable
Any quantity that varies.
Tally
Recording a mark when a specific outcome occurs in a dataset.
Tree Diagram
A diagram broken into layers matching sequential events, used to systematically list all outcomes and calculate probabilities by multiplying along branches.
Two-Way Table
A table display used to organize categorical data when there are two categorical variables.
Conditional Probability
An event that consists of the occurrence of one event based on the knowledge that another event has already occurred, calculated as P(A∣B)=P(B)P(A and B).