Content Type:

Glossary

Share Print

Random sample Definition

A sample in which each unit has an equal and independent chance of selection. Also known as probability sample.

A random sample is a subset of individuals chosen from a larger population in such a way that each person has an equal chance of being selected. This sampling method is used to ensure that the sample accurately reflects the broader population.

Who relies on a random sample in market research?

Market research firms, polling organizations, academic researchers, government agencies and corporate insights teams use random samples to generate reliable, generalizable data.

What are the key aspects of a random sample in market research?

• Equal probability of selection.
• Minimizes sampling bias.
• Supports statistical inference.
• Enhances representativeness.
• Often used in conjunction with stratification or clustering.

Why is a random sample important in market research?

Random sampling is crucial because it improves the likelihood that research findings reflect the true views or behaviors of the entire population. It helps researchers avoid skewed results and supports the credibility of conclusions drawn from the data.

How do market researchers use random sample?

Researchers use random samples to design surveys, run experiments and analyze consumer behaviors. This allows them to draw conclusions about the full population based on the sample, with known margins of error and confidence levels.