TERM 1
Simple Random Sample
DEFINITION 1
A sample selected so that each item or person in the
population has the same chance of being included. *Just
closing your eyes and picking from the table
TERM 2
Systematic Random Sample
DEFINITION 2
A random starting point is selected, and then every kth
member of the population is selected. *K is calculated by
population size/sample size *If the physical order is related to
the population characteristic then systematic shouldnt be
used. (ie) if invoices were filed in order of increasing sales,
systematic wouldnt guarantee a random sample.
TERM 3
Stratified Random Sample
DEFINITION 3
A population is divided into groups (subgroups) based on
some characteristic.(ie)college students-male, female, part
time, full time. Once strata are defined we can apply simple
random sampling within each group to collect the sample. *
The groups are called Strata
TERM 4
Cluster Sampling
DEFINITION 4
A population is divided into clusters usin g naturally occurring
geographic or other boundaries. Then , clusters are randomly
selected an a sample is collected by randomly selecting from each
cluster. *It is often employed to redu ce the cost of sampling a
population scattered over a large geo graphic area. *(ie) Divide
state into small units (primary units), li ke by counties, then select
four of the counties and concentrat e ur efforts in those four
counties.
TERM 5
Sampling Error
DEFINITION 5
The difference between a sample statistic and its
corresponding population parameter.
