Identifying population & sample, parameter & statistic

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.

Tags

CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

Front

What is a sample in statistics?

Back

A sample is a subset of the population selected for analysis, used to make inferences about the population.

Tags

CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

Front

What is a parameter in statistics?

Back

A parameter is a numerical value that summarizes a characteristic of a population.

Tags

CCSS.HSS.IC.B.3

Front

What is a statistic in statistics?

Back

A statistic is a numerical value that summarizes a characteristic of a sample.

Tags

CCSS.6.SP.A.3

Front

Why is it important to have a representative sample?

Back

A representative sample accurately reflects the characteristics of the population, leading to valid conclusions.

Tags

CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

Front

What is the difference between a census and a sample?

Back

A census surveys the entire population, while a sample surveys only a portion of the population.

Tags

CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

Front

What is sampling bias?

Back

Sampling bias occurs when certain members of the population are systematically more likely to be selected than others.

Tags

CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

Front

What is a simple random sample?

Back

A simple random sample is a sample in which every member of the population has an equal chance of being selected.

Tags

CCSS.HSS.IC.A.1

CCSS.7.SP.A.1

Front

What is stratified sampling?

Back

Stratified sampling involves dividing the population into subgroups (strata) and taking a sample from each stratum.

Tags

CCSS.HSS.IC.B.3

Front

What is the purpose of using a sample instead of a population?

Back

Using a sample is often more practical and cost-effective than surveying an entire population.

Tags

CCSS.HSS.IC.A.1

CCSS.7.SP.A.1