Front

What is a Stratified Random Sample?

Back

A sampling method where the population is divided into subgroups (strata) and random samples are taken from each stratum to ensure representation.

Tags

CCSS.HSS.IC.B.3

Front

What is a Simple Random Sample?

Back

A sampling method where every member of the population has an equal chance of being selected, typically achieved using random number generators.

Tags

CCSS.HSS.IC.B.3

Front

What is a Cluster Sample?

Back

A sampling technique where the population is divided into clusters (groups), and entire clusters are randomly selected for the sample.

Front

What is a Convenience Sample?

Back

A sampling method that involves selecting individuals who are easiest to reach, which may lead to bias.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is a Systematic Sample?

Back

A sampling method where members of the population are selected at regular intervals, such as every nth individual.

Tags

CCSS.HSS.IC.B.3

Front

What is the purpose of using sampling techniques?

Back

To gather data from a subset of a population to make inferences about the entire population without surveying everyone.

Tags

CCSS.HSS.IC.B.3

Front

How does a Stratified Random Sample differ from a Simple Random Sample?

Back

Stratified Random Sampling ensures representation from different subgroups, while Simple Random Sampling does not consider subgroups.

Tags

CCSS.HSS.IC.B.3

Front

What is the importance of random selection in sampling?

Back

Random selection helps to eliminate bias and ensures that the sample is representative of the population.

Tags

CCSS.HSS.IC.B.3

Front

What is an example of a situation where a Cluster Sample would be appropriate?

Back

When surveying students in a school, selecting entire classes (clusters) rather than individual students.

Tags

CCSS.HSS.IC.B.3

Front

What is the main disadvantage of a Convenience Sample?

Back

It may not accurately represent the population, leading to biased results.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1