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Population
the entire group of individuals we want information about
Parameter
a number that describes some characteristic of the population
Census
collects data from every individual in the population
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
convenience sample
Sample selected by taking from the population individuals who are easy to reach
Bias
The design of a statistical study shows this if it is very likely to underestimate or very likely to overestimate the value you want to know
voluntary response sample
A sample that consists of people who choose to be in the sample by responding to a general invitation
random sampling
involves using a chance process to determine which members of a population are included in the sample
simple random sample (SRS)
Sample chosen in such a way that every group of n individuals in the population has an equal chance to be selected as the sample
Strata
groups of individuals in a population who share characteristics thought to be associated with the variables being measured in a study
stratified random sampling
selects a sample by choosing an SRS from each stratum and combining the SRSs into one overall sample
Cluster
A group of individuals in the population that are located near each other
cluster sampling
Selects a sample by randomly choosing clusters and including each member of the selected clusters in the sample
Undercoverage
occurs when some members of the population are less likely to be chosen or cannot be chosen in a sample
Nonresponse
occurs when an individual chosen for the sample can't be contacted or refuses to participate
response bias
Occurs when there is a systematic pattern of inaccurate answers to a survey question
statistic
a number that describes some characteristic of a sample
Survey
an investigation about the characteristics of a given population by means of collecting data from a sample of that population and estimating their characteristics through the systematic use of statistical methodology
Random digit table
A chance device that is used to select experimental units or conduct simulations.
study versus experiment
In an experiment, you control the variables. In an observational study, you use natural conditions. An experimental study involves a hypothesis and a variable. An observational study is simply a set of observations without a hypothesis or a variable.
Systematic sampling
sample members from a larger population are selected according to a random starting point and a fixed periodic interval
inference for sampling
the process of drawing conclusions about a population on the basis of sample data
margin of error
The difference between the point estimate and the true parameter value will be less than the margin of error in C% of all samples, where C is the confidence level.
question wording
the way in which survey questions are phrased, which influences how respondents answer them
Probability sample
a sample in which every element in the population has a known statistical likelihood of being selected