# Statistical Sampling

Skill · Data Science, Analytics and AI/ML

Canonical page: https://career.thegoodapps.co/skills/statistical-sampling

Statistical sampling is the process of selecting a subset of individuals or observations from a larger population to estimate characteristics of the whole, using methods like random sampling, stratified sampling, or cluster sampling. It is used by researchers, auditors, and pollsters to make cost-effective and timely inferences without needing to survey or measure an entire population. Proper sampling design is essential to minimize bias and ensure results are representative.

Related skills: [Auditing](https://career.thegoodapps.co/skills/auditing), [Survey Design](https://career.thegoodapps.co/skills/survey-design), [Statistical Inference](https://career.thegoodapps.co/skills/statistical-inference)

## Open roles requiring Statistical Sampling (0)

None of the roles we have read name this skill yet. A large share of the visible corpus has not been parsed for skills, so this is at least as likely to be our backlog as the market's verdict.