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population
the entire group of individuals you want to study
census
when data is collected from all individuals in a population
sample
a subset of the population; often use samples to make inferences about the population
bias
a study flaw that leads to unrepresentative and/or inaccurate estimates
voluntary response bias
this occurs when a sample is composed of volunteers who may differ from individuals who don’t choose to volunteer
confounding variable
provide alternative explanations for trends between explanatory and response variables
experimental units
the individuals/subjects that are assigned to different treatments
statistics
when we use samples to make inferences about populations
convenience sample
this occurs when individuals who are easy to reach are selected to be in sample
undercoverage bias
this occurs when part of the population has a reduced chance of being included in a sample
experiment
a study in which a treatment is imposed on subjects
explanatory variable
in an experiment, this is a variable that is purposely manipulated and may cause a change in the response variable
response variable
the measured experiment outcome that is compared between treatment groups
observational study
observes individuals and measures variables of interest but does not attempt to influence the responses
simple random sample
a sample of size n, chosen in such a way that every group of n individuals in the population has an equal change to be selected as the sample
nonresponse bias
even if equally likely to be selected, not all are equally likely to provide a response
stratified random sample
a sample selected by choosing a simple random sample from each stratum of a population and combining them into one overall sample
systematic random sample
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
treatments
a specific condition applied to the individuals in an experiment
cluster sample
this type of sample consists of each member of randomly selected groups, sample all from some groups
placebo
an inactive treatment
good estimates
the purpose of this is to provide a baseline for comparison
placebo effect
when a fake treatment works
completely design randomized
an experimental design in which experimental units are assigned to treatments completely at random