Populations and Samples

Front

What is a random sample?

Back

A random sample is a subset of individuals chosen from a larger set (population) in such a way that every individual has an equal chance of being selected.

Front

Define population in the context of statistics.

Back

In statistics, a population refers to the entire group of individuals or instances about whom we hope to learn.

Front

What is a sample in statistics?

Back

A sample is a subset of a population that is used to represent the entire group.

Front

What is the purpose of random sampling?

Back

The purpose of random sampling is to reduce bias in the selection process, ensuring that the sample accurately reflects the population.

Front

What is systematic sampling?

Back

Systematic sampling is a method of selecting a sample from a population by choosing every nth individual from a list or queue.

Front

What is the difference between a sample and a population?

Back

A sample is a smaller group selected from a population, which is the entire group of interest.

Front

Why is it important to define the population before sampling?

Back

Defining the population is crucial to ensure that the sample accurately represents the group being studied and to avoid bias.

Front

What is bias in sampling?

Back

Bias in sampling occurs when certain individuals or groups are systematically favored over others in the selection process.

Front

What is convenience sampling?

Back

Convenience sampling is a non-probability sampling method where samples are taken from a group that is easily accessible.

Front

What is stratified sampling?

Back

Stratified sampling is a method where the population is divided into subgroups (strata) and random samples are taken from each stratum.