Statistical Terms Flashcards
(26 cards)
An entire group of individuals that a sample is selected from:
Population
A selected group of individuals from a population:
Sample
Sampling methods that over or underemphasize some characteristics of the population are:
Biased
The number of individuals in the sample:
Sample size
A sample of the entire population:
Census
Use mathematics to represent reality:
Model
Key numbers in a model:
Parameter
Used to estimate summaries of data:
Statistic
Each combination of people has an equal chance of being selected:
Simple Random Sample
A list from which the sample is drawn:
Sampling Frame
Sample-sample differences:
Sampling Variability
After a sample is taken, populations are sliced in groups called:
Strata
Once strata are chosen, random sampling occurs and results are combined to form a statistic:
Stratified Random Sampling
To sample a large population, one can split the population into:
Clusters
Selecting a number of clusters at random and perform a census within each of them is:
Cluster Sampling
Sampling every nth person on a list:
Systemic Sampling
A trial run of a survey that eventually will be used with a larger group:
Pilot
A large group of individuals is invited to respond, those who respond, are counted only (biased):
Voluntary Response Sample
Bias occurring in a voluntary response sample:
Voluntary Response Bias
Including individuals in a sample that are convenient to the sample:
Convenience Sampling
Bias occuring when a large fraction of those sampled fail to respond:
Nonresponse Bias
Bias occuring when there is anything in a survey design that influences responses or the sample:
Response Bias
In a study where researchers do not assign choices; they just observe them:
Observational Study
Researchers choose a group and record based on historical data:
Retrospective Study