Statistics Sampling Methods
Simple Random sample - correct answer This sample is a subset of a statistical
population in which each member of the subset has an equal probability of being
chosen. An example of this sample would be the names of 25 employees being
chosen out of a hat from a company of 250 employees.
Stratified Random Sample - correct answer This sample is a population sample
that requires the population to be divided into smaller groups, called 'strata'.
Random samples can be taken from each stratum, or group.
cluster sample - correct answer This sample refers to a type of sampling
method . With this sampling, the researcher divides the population into separate
groups, Then, a simple random sample of "groups" is selected from the population.
Systematic Sample - correct answer This sample is a type of probability sampling
method in which sample members from a larger population are selected according
to a random starting point and a fixed periodic interval. This interval, called the
sampling interval, is calculated by dividing the population size by the desired
sample size
Multistage Sample - correct answer This sample can be a complex form of cluster
sampling because it is a type of sampling which involves dividing the population
into groups (or clusters). Then, one or more clusters are chosen at random and
everyone within the chosen cluster is sampled.
Voluntary Response Sample - correct answer This sample is a sample made up of
volunteers. Compared to a random sample, these types of samples are always
biased. For example, people who call in to a radio show poll may have strong
opinions about a topic in either direction.
