Unit 4 Flashcards
The entire group of individuals we want information about
Population
Collects data from every individual in the population
Census
A subset of individuals in the population from which we collect data
Sample
A study that collects data from a sample to learn about the population from which the sample was selected
Sample Survey
Selects individuals from the population who are easy to reach
Convenience Sampling
A study shows this if it is very likely to underestimate or very likely to overestimate the value you want to know
Bias
Allows people to choose to be in the sample by responding to a general invitation
Voluntary Response Sampling
Involves using a chance process to determine which members of a population are included in the sample
Random Sampling
Chosen in such a way that every group of individuals in the population has an equal chance to be selected as the sample
Simple Random Sample (SRS)
An individual from a population can be selected only once
Sampling Without Replacement
An individual from a population can be selected more than once
Sampling With Replacement
Groups of individuals in a population who share characteristics thought to be associated with the variables being measured in a study
Strata
Selects a sample by choosing an SRS from each stratum and combining the SRSs into one overall sample
Stratified Random Sampling
A group of individuals in a population that are located near each other
Cluster
Selects a sample by randomly choosing clusters and including each member of the selected clusters in the sample
Cluster Sampling
Selects a sample from an ordered arrangement of the population by randomly selecting one of the first k individuals and choosing every kth individual thereafter
Systematic Random Sampling
Occurs when some members of the population are less likely to be chosen or cannot be chosen in a sample
Undercoverage