Samples, Populations & Bias

Front

What is a sample in statistics?

Back

A sample is a subset of a population used to represent the entire group in statistical analysis.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is a population in statistics?

Back

A population is the complete set of items or individuals that are the subject of a statistical study.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is bias in sampling?

Back

Bias in sampling occurs when certain members of a population are systematically more likely to be selected than others, leading to unrepresentative results.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is random sampling?

Back

Random sampling is a technique where each member of a population has an equal chance of being selected, ensuring a representative sample.

Tags

CCSS.HSS.IC.B.3

Front

What is stratified sampling?

Back

Stratified sampling involves dividing the population into subgroups (strata) and randomly selecting samples from each stratum.

Tags

CCSS.HSS.IC.B.3

Front

What is convenience sampling?

Back

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

Tags

CCSS.HSS.IC.B.3

Front

What is the difference between qualitative and quantitative data?

Back

Qualitative data describes characteristics or qualities, while quantitative data involves numerical values that can be measured.

Front

What is a sampling error?

Back

A sampling error is the difference between the sample statistic and the actual population parameter due to the sample not being representative.

Tags

CCSS.HSS.IC.B.3

Front

What is a survey?

Back

A survey is a method of collecting data by asking questions to a group of people to gather information about their opinions or behaviors.

Tags

CCSS.6.SP.B.5B

Front

What is a biased sample?

Back

A biased sample is one that does not accurately represent the population, leading to skewed results.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1