Psychological Statistics Exam Review Notes

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A collection of flashcards to help review key vocabulary terms and concepts in Psychological Statistics related to the upcoming exam.

Last updated 1:08 AM on 12/15/25
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24 Terms

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Population

The complete set of individuals or items that you are interested in studying.

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Sample

A subset of the population that is selected for study.

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Parameter

A numerical characteristic of a population.

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Statistic

A numerical characteristic of a sample.

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Descriptive Statistics

Statistics that summarize data from a sample using indexes such as the mean or standard deviation.

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Inferential Statistics

Statistics that allow making inferences about the population from which the sample was drawn.

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Nominal Scale

A scale that categorizes data without any quantitative value.

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Ordinal Scale

A scale that categorizes data with a fixed order or ranking.

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Interval Scale

A scale with ordered categories that have equal intervals but no true zero point.

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Ratio Scale

A scale with ordered categories, equal intervals, and an absolute zero.

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Correlation

A measure that indicates the extent to which two variables are related.

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Causation

A relationship where one event is affected by another event.

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Independent Variable

The variable that is manipulated in an experiment.

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Dependent Variable

The variable that is measured in an experiment.

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Control Condition

The condition that does not receive the experimental treatment.

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Experimental Condition

The condition that receives the treatment being tested.

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Frequency Distribution

A summary of how often different values occur within a dataset.

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Central Tendency

A measure that represents the center point of a dataset, often described by the mean, median, and mode.

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Mean

The average value of a dataset, calculated as the sum of all scores divided by the number of scores.

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Median

The middle value in an ordered dataset.

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Mode

The most frequently occurring value in a dataset.

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Standard Deviation

A measure of the dispersion or spread of a set of values.

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Z-score

A measure that describes a value's relation to the mean of a group of values.

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Sampling Error

The error that arises when a sample does not represent the population from which it was drawn.

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