PSY 110 Basic Statistics Concepts

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Vocabulary flashcards covering core terms, descriptive vs. inferential statistics, types of variables, and measurement scales from the PSY 110 introductory material.

Last updated 10:27 PM on 8/27/26
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20 Terms

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Population

The entire collection of people under consideration or of interest in a study, sharing one or more attributes or characteristics.

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Sample

A subgroup of a population, typically studied when the full population is inaccessible or too costly in time, energy, and resources to reach.

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Parameter

A measured characteristic or numerical value that describes an entire population.

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Statistic

A measured characteristic or numerical value that describes a part of a population, specifically a sample.

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Descriptive Statistics

Statistics primarily aimed at describing and summarizing data.

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Inferential Statistics

Statistics primarily aimed at inferring information about a population from a sample to make generalizations, estimations, predictions, or decisions.

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Variable

Something measured that takes on different characteristics, scores, or values across different people or things.

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Constant

A characteristic where responses do not vary because every individual shares the exact same response.

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Dataset

A collection of variables, information, scores, or observations about a group of people, animals, or things.

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Latent Construct

A variable that cannot be measured directly and must be measured indirectly using self-reports, behaviors, or item responses.

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Manifest Variable

A variable that can be measured directly.

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Operational Definition

Defining the specific way a variable is measured or manipulated in a study.

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Discrete Variable

A variable that takes on distinct, countable numerical values with a limited number of values and no intermediate values between adjacent points.

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Continuous Variable

A variable that theoretically can assume unlimited or infinite values between scale extremes and can be measured to any level of precision.

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NOIR

An acronym for remembering the four levels of measurement scale: Nominal, Ordinal, Interval, and Ratio.

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NOS

An acronym used in SPSS to recall its recognized measurement categories: Nominal, Ordinal, and Scale.

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Nominal Scale

A categorical measurement scale with named categories that have no quantitative value or natural order/ranking.

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Ordinal Scale

A categorical measurement scale with ordered or ranked levels indicating 'how much', though the differences or distances between categories are not consistent or equal.

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Interval Scale

A measurement scale with ordered numerical categories and equal intervals between points, but lacking a true zero (zero does not mean absence of the construct).

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Ratio Scale

A measurement scale that meets interval scale criteria and has a meaningful true zero, where zero indicates the total absence of the variable or construct.