Chapter 1 - Basic Ideas Statistics Flashcards

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Vocabulary flashcards defining fundamental statistical terms, variable types, population vs. sample distinctions, and study steps based on Chapter 1 lecture notes.

Last updated 12:45 AM on 8/30/26
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15 Terms

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Statistics

The study of procedures for collecting, describing, and drawing conclusions from data.

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Four Steps of a Typical Statistical Study

The sequence of actions in a statistical study: 1. Formulate questions. 2. Collect data needed to answer the questions. 3. Describe the data. 4. Draw conclusions, using appropriate methods.

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Population

The entire collection of individuals about which information is sought.

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Sample

A subset of a population, containing individuals that were actually observed.

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Parameter

A number that describes a population.

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Statistic

A number that describes a sample.

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Good Sampling Methods

Sampling procedures that use some type of randomness in the process to increase the likelihood that the sample represents the population closely.

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Sample of Convenience

A sampling method that does not use randomness in the process, making data collection fast and easy but less likely to represent the population closely.

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Individuals

The people or things on which statistical information is collected.

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Variables

The characteristics of the individuals about which information is collected, corresponding to column headers on a data spreadsheet.

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Data

The actual values obtained for the variables, corresponding to the entries under headers on a data spreadsheet.

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Quantitative Variables

Variables that tell how much or how many of something there is, representing a count or a measurement.

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Qualitative Variables

Variables that classify individuals into categories, also referred to as categorical variables, which do not represent a count or a measurement.

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Discrete Quantitative Variables

Quantitative variables whose possible values can be listed, typically representing counts as whole numbers.

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Continuous Quantitative Variables

Quantitative variables that can, in principle, take on any value within some interval, typically representing measurements with specified units.