Population vs Sample Identification (6Qs)

Front

What is a population in statistics?

Back

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

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What is a sample in statistics?

Back

A sample is a subset of individuals or items selected from a population, used to make inferences about the population.

Front

Why is it important to distinguish between population and sample?

Back

Distinguishing between population and sample is crucial for accurate data analysis and to avoid bias in research findings.

Front

What is an example of a population?

Back

All students in a school.

Front

What is an example of a sample?

Back

A group of 30 students selected from a school to participate in a survey.

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How can a sample be representative of a population?

Back

A sample can be representative if it is randomly selected and reflects the characteristics of the population.

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What is sampling bias?

Back

Sampling bias occurs when certain members of a population are systematically more likely to be selected for the sample than others.

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What is a census?

Back

A census is a survey that attempts to collect data from every member of a population.

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What is the difference between qualitative and quantitative data?

Back

Qualitative data describes characteristics or qualities, while quantitative data involves numerical measurements.

Front

What is a stratified sample?

Back

A stratified sample is a sampling method where the population is divided into subgroups, and samples are taken from each subgroup.