7-1 Populations and Samples

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What is a population in statistics?

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A population is the entire group of individuals or items that we want to study or gather information about.

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What is a sample in statistics?

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A sample is a subset of the population selected for the purpose of conducting a survey or study.

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Why is it important to have a representative sample?

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A representative sample accurately reflects the characteristics of the population, allowing for valid conclusions to be drawn from the survey results.

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What does random sampling mean?

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Random sampling is a technique where each member of the population has an equal chance of being selected for the sample.

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What is the purpose of conducting a survey?

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The purpose of conducting a survey is to gather information or opinions from a group of people about a specific topic.

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What is sampling bias?

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Sampling bias occurs when the sample selected does not accurately represent the population, leading to skewed results.

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What is stratified sampling?

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Stratified sampling is a method where the population is divided into subgroups (strata) and random samples are taken from each stratum.

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What is the difference between qualitative and quantitative data?

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Qualitative data describes characteristics or qualities, while quantitative data involves numerical values that can be measured.

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What is a survey question?

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A survey question is a question posed to respondents to gather their opinions, preferences, or behaviors.

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What is the significance of sample size in surveys?

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The sample size affects the reliability and validity of the survey results; larger samples generally provide more accurate estimates.