(Original post by koolkelv)
Do you not have the textbook?
I'll copy out the definitions for you.
Simple random sampling procedure is when every possible sample of a given size is equally likely to be selected. Note the converse is not true, i.e. if ever item is equally likely to be selected, it may not be simple random sampling.
Stratified sampling is when you ensure every strata of a sample is sampled, where a strata is a sub-group.
Proportional stratified sampling is when every strata are sampled proportional to its size.
Cluster sampling is when you choose from one or several of the clusters/sub-groups. (Don't quite understand this but I think it has to do with the inaccessibility of the parent population and so you choose one or two clusters which you represent the whole population with.)
Systematic sampling is a method of choosing individuals from a sampling frame. You do this by selecting a random number, and then picking samples that are a multiple of that number, or example if you choose 6, then every 6th sample would be chosen. Be aware that this may be flawed method if you sampled a school of class size 20 and ordered from not clever to clever, then a systematic sample of 20 means that always the brightest students will be picked.
Quota sampling is not random. You pick a quota of things to be sampled in the parent population or a quota for each sub-group, but then the sampling technique used is up to the person who you pas the quota to.