Population
the entire group of individuals we want information about
Block
a group of experimental units that are known before the experiment to be similar in some way that is expected to affect the response to the treatments
Census
collects data from every individual in the population
Cluster
a group of individuals in a population that are located near each other
Confounding
occurs when two variables are associated in such a way that their effects on a response variable cannot be distinguished from each other
Control
means keeping other variables constant for all experimental units
Control Group
used to provide a baseline for comparing the effects of other treatments
Convenience Sample
choosing individuals from the population who are easy to reach
Double-blind
experiment where neither the subjects nor those who interact with them and measure the response variable know which treatment a subject received
Experiment
deliberately imposes some treatment on individuals to measure their responses
Explanatory Variable
may help explain or predict changes in a response variable
Factor
variable that is manipulated and may cause a change in the response variable
Nonresponse
occurs when an individual chosen for the sample can’t be contacted or refuses to participate
Observational Study
observes individuals and measures variables of interest but does not attempt to influence the responses
Placebo
a treatment that has no active ingredient, but is otherwise like other treatments
Placebo Effect
describes the fact that some subjects in an experiment will respond favorably to any treatment, even an inactive treatment
Random Assignment
experimental units are assigned to treatments using a chance process
Replication
using enough experimental units to distinguish a difference in the effects of the treatments from chance variation due to the random assignment
Response Bias
occurs when there is a systematic pattern of inaccurate answers to a survey question
Response Variable
measures the outcome of a study
Sample
a subset of individuals in the population from which we actually collect data
Sample Survey
a study that collects data from a sample that is chosen to represent a specific population
Sampling Variability
refers to the fact that different random samples of the same size from the same population produce different estimates
Simple Random Sample (SRS)
a sample 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
Single-blind
experiment where 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
Statistically Significant
when the observed results of a study are too unusual to be explained by chance alone; occurs less than 5% of the time
Strata
groups of individuals in a population who share characteristics thought to be associated with the variables being measured in a study
Systematic Random 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
Undercoverage
occurs when some members of the population are less likely to be chosen or cannot be chosen in a sample
Voluntary Response Sampling
allows people to choose to be in the sample by responding to a general invitation