Intro to Statistics - Review #2

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What is qualitative data?

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Qualitative data refers to non-numeric information that describes characteristics or qualities. It can be categorized into nominal (no order) and ordinal (with order) types.

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What is quantitative data?

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Quantitative data refers to numeric information that can be measured and counted. It can be classified as discrete (countable) or continuous (measurable).

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What is nominal data?

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Nominal data is a type of qualitative data that represents categories without any intrinsic ordering. Example: Colors of cars.

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What is ordinal data?

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Ordinal data is a type of qualitative data that represents categories with a meaningful order but no fixed interval between them. Example: Survey ratings (satisfied, neutral, dissatisfied).

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What is discrete data?

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Discrete data is a type of quantitative data that can take on a finite number of values. Example: Number of students in a class.

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What is continuous data?

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Continuous data is a type of quantitative data that can take on an infinite number of values within a given range. Example: Height of students.

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What is stratified sampling?

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Stratified sampling is a sampling method where the population is divided into subgroups (strata) based on shared characteristics, and samples are taken from each stratum.

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What is random sampling?

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Random sampling is a sampling method where each member of the population has an equal chance of being selected, ensuring that the sample is representative.

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What is cluster sampling?

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Cluster sampling is a sampling method where the population is divided into clusters (usually geographically), and entire clusters are randomly selected.

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What is convenience sampling?

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Convenience sampling is a non-probability sampling method where samples are taken from a group that is easily accessible.