Section 1.2 Random Samples Flashcards
Simulation
A way to model random events that closely match real world outcomes
Stratified
Systematic
Str:Dividing the population into distinctive subgroups and drawing random samples from each subgroup
Sys: Sequentially numbering and randomly selected starting point taking every nth member
Cluster
Multistage
Convenience
Clu:Divided population into subgroups based on geographical location
M:Creating smaller groups using various sampling methods
Con:Using available data from the population to make a sample
Sampling frame
Under coverage
Sampling error
List of members from which a sample is actually selected
When part of the population is omitted into the selection.
The difference between measurement from the sample and corresponding measurement from the respective population
Simple random sample
A sample in which every individual in the population has an equal chance of being selected