Classifying Samples
Types of Sampling:
Simple Random Sample: equal chance of being selected Stratified
Random Sample: split into groups and randomly select from each group
Cluster Random Sample: split into groups and randomly pick the entire group(s)
Systematic Random Sample: example: pick every 3rd person
Convenience Sampling: easily accessible, not reliable.
Note: can sample with replacement or without replacement