Populations and Samples

Front

What is a population in statistics?

Back

A population is the entire group of individuals or items that we want to study or draw conclusions about.

Front

What is a sample in statistics?

Back

A sample is a subset of the population that is selected for the purpose of conducting a study.

Front

What is random sampling?

Back

Random sampling is a technique where each member of the population has an equal chance of being selected.

Front

What is systematic sampling?

Back

Systematic sampling involves selecting every nth member from a list of the population.

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 strata.

Front

What is biased sampling?

Back

Biased sampling occurs when certain members of the population are more likely to be selected than others, leading to an unrepresentative sample.

Front

What is the difference between a sample and a population?

Back

A sample is a smaller group selected from the population, while the population includes all members of the group being studied.

Front

Why is random sampling important?

Back

Random sampling is important because it helps ensure that the sample is representative of the population, reducing bias.

Front

What is a convenience sample?

Back

A convenience sample is a type of non-random sampling where members are selected based on their easy availability.

Front

What is a survey?

Back

A survey is a method of collecting data by asking questions to a group of people.