1.
The collection, organization, and communication of data
A
Statistics
B
Informatics
C
Data science
2.
The pieces of information that are collected.
A
Data
B
Clusters
C
Strata
3.
The group of interest that is to be studied.
A
Population
B
Sample
C
Subset of population
4.
A number that describes a particular characteristic of a population.
A
population parameter
B
sample statistic
C
strata
5.
Procedure when data are collected from all members of a population.
A
Census
B
Stratified sampling
C
Cluster sampling
6.
Subset of the population.
A
Sample
B
Sample statistic
C
Statified sampling
7.
A number that describes a particular characteristic of a sample.
A
Sample statistic
B
Population parameter
C
Cluster sampling
8.
A sample that reflects the population's characteristics and does not favor any subgroup over another.
A
Representative sample
B
Biased sample
C
Blinded sample
9.
A sample in which every member of the population has an equally likely chance of being selected.
A
Random sample
B
Convenience sample
C
Cluster sample
10.
A sample where every nth person is selected.
A
Systematic sample
B
Stratified sample
C
Cluster sample
11.
A sample that is selected because it is convenient for the researcher.
A
Convenience sample
B
Systematic sample
C
Simple random sample
12.
A sample in which the population is separated into groups based on similar characteristics and then a sample is taken from each group.
A
Stratified sample
B
Convenience sample
C
Cluster sample
13.
A sample in which the population is separated into groups, some of the groups are randomly selected, and then data are gathered from each member in the selected groups.
