Lesson 4.1 Sampling and Surveys GOOD

Front

What is convenience sampling?

Back

Convenience sampling is a non-probability sampling method where the sample is taken from a group that is easily accessible to the researcher.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

Define population in the context of surveys.

Back

Population refers to the entire group of objects or individuals that are considered for a survey.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is random sampling?

Back

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

Tags

CCSS.HSS.IC.B.3

Front

Is calling random people in the phone book to gather opinions biased or unbiased?

Back

This method is considered unbiased as it randomly selects individuals from a larger population.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What does it mean if a sample is biased?

Back

A biased sample is one that does not accurately represent the population, often due to the method of selection.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is the difference between biased and unbiased sampling?

Back

Biased sampling leads to results that are not representative of the population, while unbiased sampling ensures that every individual has an equal chance of being selected.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is a survey?

Back

A survey is a method of collecting data from a predefined group, often used to gather opinions, behaviors, or characteristics.

Tags

CCSS.6.SP.B.5B

Front

What is the importance of sample size in surveys?

Back

Sample size is crucial as it affects the accuracy and reliability of the survey results; larger samples generally provide more reliable data.

Tags

CCSS.HSS.IC.B.3

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.

Tags

CCSS.HSS.IC.B.3

Front

What is the role of randomization in sampling?

Back

Randomization helps eliminate bias in the selection process, ensuring that every individual has an equal chance of being included in the sample.

Tags

CCSS.HSS.IC.B.3