Unit 3 - Design of a Study - Sampling Methods - Bias

Front

Probability Sample

Back

A sampling method where each member of the population has a known probability of being included in the sample.

Tags

CCSS.HSS.IC.B.3

Front

Random Sample

Back

A sampling method where each member of the population has an equal chance of being selected.

Tags

CCSS.HSS.IC.B.3

Front

Quota Sampling

Back

A non-probability sampling method where the researcher ensures equal representation of various characteristics in the sample.

Front

Cluster Sampling

Back

A sampling method where the population is divided into clusters, and entire clusters are randomly selected for the sample.

Tags

CCSS.HSS.IC.B.3

Front

Matched Pairs Design

Back

An experimental design where subjects are paired based on similar characteristics, and each pair is subjected to different treatments.

Tags

CCSS.HSS.IC.B.3

Front

Bias

Back

A systematic error that leads to an incorrect estimate of the population parameter.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

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Census

Back

A complete enumeration of a population, where every member is surveyed.

Front

Stratified Sampling

Back

A sampling method where the population is divided into strata, and random samples are taken from each stratum.

Tags

CCSS.HSS.IC.B.3

Front

Nonresponse Bias

Back

A bias that occurs when individuals selected for the sample do not respond, leading to a non-representative sample.

Tags

CCSS.HSS.IC.B.3

Front

Parameter

Back

A numerical characteristic or measure obtained by using the data values from a specific population.

Tags

CCSS.HSS.IC.B.3