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census
collects data from every indivudual in a population
convience sample
choose people who are the easiest to reach
volunatry response sample
open to invitation to respond
simple random sample
gives every possible sample of a given population the same chance to be chosen
stratified random sample
divide the population into groups of indivudals that are similar in some way
strata
groups of unique indviudals
cluster sample
groups of population that are located near eachother. called a cluster and then randomly select a cluster to sample.
systematic random sample
select a value of population. then choose a random indivuidual then choose a radom number and choose every indiuvdal on that number
undercoverage
less likely to be chosen or cant be chosen
non response
can not be contacted or refuse to answer.
response bias
untruthful answers or poorly worded questions
explantory variable
the trial
response variable
the response to the trial
confounded
when an outside force could be changing the response not the explantory
observational studies
no treatment is provided and srs
experiments
a treatment is provided and population is chosen with a srs
factors
the treatments given to the subjects
double blind
neither the patient or doctor knows what treatment is being given
single binding
the doctor knows what experiment is being given
control
no treatments given to see the effects of the treatments on others
replication
each treatment is given to mutiple subjects
block design
forms groups in an experiment . then given treatments at random to the block
matched pairs design
2 similar subjects paired together one is given one treatment the other is given the other
sampling varaiblity
differnent random samples of the same size and population can producediffernt estimates