Algegbra- Statistics types of samples

probability sampling

every member of the population has a known, non-zero chance of being selected. This method includes techniques like simple random sampling, stratified sampling, and cluster sampling.

simple random sampling

every individual has an equal chance of being selected

systematic sampling

select every k-th person from a list

stratified sampling

divide the population into the strata (groups) based on characteristics (age, gender), then randomly sample from each group

convenience sampling

select individuals who are easiet to reach

Cluster sampling

divide the population into clusters (often geographically), then randomly select whole clusters

Drawing names from a hat

Simple random sampling

choose every 10th person from a list of employees

systematic

ensures representation from all sub groups

stratified sampling

Useful when the population is spread out geographically

Cluster sampling