Representative sample

Definition

A representative sample is a subset of a population that accurately reflects the members of the entire population. It ensures that all relevant characteristics are proportionately included in the sample.

5 Must Know Facts For Your Next Test

1. A representative sample minimizes bias and provides more accurate results.
2. The size of a representative sample should be large enough to capture the diversity within the population.
3. Random sampling techniques, such as simple random sampling or stratified sampling, are often used to obtain representative samples.
4. A representative sample is crucial for making valid inferences about the population from which it was drawn.
5. Errors in selecting a representative sample can lead to skewed data and unreliable conclusions.

Review Questions

• Why is obtaining a representative sample important in statistical analysis?
• What methods can be used to ensure a sample is representative?
• How does a non-representative sample affect research outcomes?

Related terms

Population:

The entire group of individuals or instances about whom we hope to learn.

Simple Random Sampling:

A method of sampling where every member of the population has an equal chance of being selected.

Stratified Sampling:

A method of sampling that involves dividing the population into subgroups and then taking a proportional number from each subgroup.