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Population
entire group of individuals we want info about
Census
collects data from every individual in the population
Sample
subset of individuals in the population from which we collect data
Sample survey
a study that collects data from a sample that is chosen to represent a specific population
Convenience sampling
selects individuals from a population who are easy to reach
Bias
likely to underestimate or overestimate the value you want to know
Voluntary response sampling
allows people to choose to be in the sample by responding to a general invitation
Undercoverage
random sampling from the wrong group
Simple random sample (SRS)
SRS of 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
Observational Study
observes individuals and measures variables of interest but does not attempt to influence the responses
Response Variable
measures an outcome of a study
Explanatory Variable
helps explain or predict changes in a response variable
Confounding
occurs when two variables are associated in such a way that their effects on a response variable cannot be distinguished from each other
Experiment
deliberately imposes some treatment on individuals to measure their responses
Placebo
treatment that has no active ingredient, but is otherwise like other treatments
Treatment
specific condition applied to individuals in an experiment
Experimental unit
object to which a treatment is randomly assigned
Subject
human experimental unit
Factor
a variable that is manipulated and may cause a change in the response variable
Levels
different values of a factor
Control group
used to provide a baseline for comparing the effects of other treatments
Placebo effect
describes the fact that some subjects in an experiment will respond favorably to any treatment, even an inactive treatment
Double-blind experiment
neither the subjects nor those who interact with them and measure the response variable know which treatment a subject received
Single-blind experiment
either the subjects don't know which treatment they are receiving or the people who interact with them and measure the response variable don't know which subjects are receiving which treatment
Sampling variability
the natural difference in results you get when you take multiple samples from the same population
block
group of experimental units that are similar
Randomized block design
separate subjects into blocks and then randomly assign treatment within each block
Matched pairs design
subjects are paired (block size of 2) and then randomly assigned to a treatment
(Each subject receives two treatments order of treatments must be randomized)
Statistical Significance
the results of a study are statistically significant if they are very unlikely to happen just by chance