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Population
the entire group of individuals we want information about
Sample
a subject of individuals whith-in the population from which we actually collect data.
Census
collects data from every individual in the population
Cluster
A group of individuals in the population that are located near eachother
convenience sampling
choosing individuals from the population who are easiest to reach. = unrepresentative data
Bias
underestimate or overestimate the value you want to know
voluntary response sampling
consists of people who choose themselves by responding to a general appeal
random sampling
using a chance process to determine which members of a population are included in the sample.
simple random sample
size n is chosen in such a way that every group of n individuals in the population has an equal chance to be selected as the sample
strata
subject of the population which is being sampled.
stratified random sampling
Population divided into subgroups (strata) and random samples taken from each strata.
cluster random sampling
dividing the total population into groups (or clusters), then using simple random sampling to select which clusters participate; all observations in a selected cluster are included in the sample
Under coverage
Occurs when some members of the population cannot be chosen for a sample.- can't be contacted
nonresponse
Occurs when an individual chosen for a sample can’t be contacted or refuses to participate
Response bias
Systematic pattern of incorrect responses in an sample survey.- usually caused by weird worded questions by interviewer
Extrapolation
Use of regression model for prediction outside of the interval of x values used to obtain the model. The further out you go, the less reliable the perditions are.
Heterogeneous
When individuals in a group differ. Ideal for clusters
Homogeneous
When individuals are quite similar. Ideal for Strata