COM 470 Lecture Notes - Lecture 13: Royal Institute Of Technology, Clinical Trial, Simple Random Sample
Document Summary
Populations and sampling frames: sampling frame: a list of units (elements) composing a population from which a sample is selected. Omissions are inevitable: to be generalized, all elements must have equal representation in the frame. Types of sampling designs: simple random sampling, systematic sampling, stratified sampling. Implicit stratification in systematic sampling: simple random sampling: a type of probability sampling in which the units composing a population are assigned numbers. A set of random numbers is generated and the units having those numbers are included in the sample: not necessarily the most accurate sampling method. Having numbered everyone in the population, we can use a table of random numbers to select a representative sample from the overall population. Samplingin terval population size samplesize: sampling ratio: the proportion of elements in the population that are selected to be in a sample. A stratified, systematic sample with a random start. A stratified, systematic sample involves two stages.
