Adv Algebra - Sampling Methods Skills Check

What is the primary purpose of sampling in research?

• To eliminate bias

• To gather data from a subset of a population

• To analyze all members of a population

• To ensure perfect accuracy

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Which of the following is an example of random sampling?

• Selecting every 10th person from a list

• Choosing individuals based on specific characteristics

• Using a random number generator to select participants

• Surveying only those who volunteer

Tags

CCSS.HSS.IC.B.3

What is stratified sampling?

• A) A method where the population is divided into subgroups and samples are drawn from each group

• B) A technique that samples every member of a population

• C) A sampling method that focuses on the most accessible members of a population

• D) A random sampling method that does not require any grouping

Tags

CCSS.HSS.IC.B.3

In cluster sampling, how is the sample selected?

• By choosing individual members from the entire population

• By dividing the population into groups and randomly selecting entire groups

• By surveying all members of the population

• By selecting members based on their responses

Tags

CCSS.HSS.IC.B.3

Which of the following describes convenience sampling?

• Selecting participants based on specific criteria

• Choosing individuals who are easiest to reach

• Randomly selecting participants from a defined population

• Sampling that ensures every subgroup is represented

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

What is the main disadvantage of convenience sampling?

• It is time-consuming

• It can lead to high accuracy

• It may not represent the entire population

• It requires complex procedures

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Systematic sampling involves:

• Selecting participants based on their characteristics

• Choosing every nth individual from a population list

• Randomly selecting participants with no specific order

• Dividing the population into segments

Tags

CCSS.HSS.IC.B.3

What is a key characteristic of simple random sampling?

• A) Each member of the population has an equal chance of being selected

• B) Participants are chosen based on availability

• C) The population is divided into clusters

• D) Only certain groups within the population are sampled

Tags

CCSS.HSS.IC.B.3

Which sampling method would be most appropriate for ensuring representation of various subgroups in a population?

• Simple random sampling

• Convenience sampling

• Stratified sampling

• Cluster sampling

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

When is it most appropriate to use cluster sampling?

• When the population is homogeneous

• When it is difficult to obtain a complete list of the population

• When researchers want to ensure representation of all subgroups

• When time and resources are not limited

Tags

CCSS.HSS.IC.B.3