1.3 Data Sampling Types

Front

What is cluster sampling?

Back

Cluster sampling is a sampling technique where the population is divided into groups (clusters), and a random sample of these clusters is selected. All individuals within the chosen clusters are then surveyed.

Tags

CCSS.HSS.IC.B.3

Front

What is convenience sampling?

Back

Convenience sampling is a non-probability sampling technique where samples are taken from a group that is easily accessible to the researcher.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is random sampling?

Back

Random sampling is a sampling technique where each member of the population has an equal chance of being selected, ensuring that the sample is representative of the population.

Tags

CCSS.HSS.IC.B.3

Front

What is systematic sampling?

Back

Systematic sampling is a method where samples are selected at regular intervals from a randomly ordered list of the population.

Tags

CCSS.HSS.IC.B.3

Front

What is stratified sampling?

Back

Stratified sampling is a technique where the population is divided into subgroups (strata) that share similar characteristics, and random samples are taken from each stratum.

Tags

CCSS.HSS.IC.B.3

Front

Example of cluster sampling:

Back

A researcher surveys all students in randomly selected classrooms within a school.

Tags

CCSS.HSS.IC.B.3

Front

Example of convenience sampling:

Back

A student surveys friends and family members for a project.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

Example of random sampling:

Back

A lottery system where names are drawn randomly from a hat.

Tags

CCSS.HSS.IC.B.3

Front

Example of systematic sampling:

Back

Selecting every 10th person from a list of registered voters.

Tags

CCSS.HSS.IC.B.3

Front

Example of stratified sampling:

Back

Dividing a population of voters into age groups and randomly selecting individuals from each age group.

Tags

CCSS.HSS.IC.B.3