AP Statistics Vocabulary Quiz on Surveying

In the context of surveying, how would you differentiate between a sample and a population?

• A sample refers to a specific demographic, while a population refers to a general demographic.

• A sample refers to the entire group being surveyed, while a population is a smaller group within it.

• A sample is a subset of the population being surveyed, while a population refers to the entire group.

• In surveying, a sample and a population are essentially the same thing.

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CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Identify three popular sampling methods used in research studies.

• snowball sampling

• systematic sampling

• simple random sampling, stratified sampling, and cluster sampling

• judgment sampling

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CCSS.HSS.IC.B.3

What does non-response bias in surveys imply?

• Bias that arises when the respondents of a survey differ from non-respondents.

• Bias that arises when the respondents of a survey are similar to non-respondents.

• Bias that arises when the non-respondents of a survey differ from respondents.

• Bias that arises when the respondents of a survey are randomly chosen from the population.

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CCSS.HSS.IC.B.3

How do random sampling and stratified sampling differ from each other?

• Random sampling involves giving each member of the population an equal chance of being selected, while stratified sampling involves dividing the population into homogeneous groups and taking a random sample from each group.

• Random sampling involves dividing the population into homogeneous groups and taking a random sample from each group, while stratified sampling involves giving each member of the population an equal chance of being selected.

• Random sampling involves selecting each member of the population based on a specific characteristic, while stratified sampling involves giving each member of the population an equal chance of being selected.

• Random sampling involves dividing the population into heterogeneous groups and taking a random sample from each group, while stratified sampling involves selecting each member of the population based on a specific characteristic.

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CCSS.HSS.IC.B.3

What are the benefits of using questionnaires for data collection in survey research?

• Subjective answers, time-consuming, biased results

• Unreliable data, low response rate, insufficient detail

• Restricted sample size, challenging analysis, inflexibility

• Uniform data collection, cost-efficiency, confidentiality

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CCSS.HSS.IC.B.3

What does response bias refer to in the context of surveys?

• The inclination of survey respondents to give inconsistent responses.

• The inclination of survey respondents to avoid answering survey questions.

• The inclination of survey respondents to respond to questions truthfully and precisely.

• The inclination of survey respondents to respond to questions inaccurately or in a manner that is swayed by factors such as social acceptability, suggestive questions, or the wish to satisfy the researcher.

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CCSS.HSS.IC.B.3

What is the main objective of analyzing survey results?

• To distribute questionnaires

• To collect and interpret data from questionnaires.

• To design questionnaires

• To examine data from interviews

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CCSS.HSS.IC.B.3

Can you differentiate between systematic sampling and cluster sampling?

• Systematic sampling involves selecting a random sample of individuals from each cluster in the population.

• Cluster sampling involves selecting every nth element in a population.

• Systematic sampling involves selecting every nth element in a population, while cluster sampling involves randomly selecting clusters and including all individuals within those clusters in the sample.

• Cluster sampling involves randomly selecting clusters and including all individuals within those clusters in the sample, while systematic sampling involves selecting every nth element in a population.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

What are the typical types of bias in survey research?

• observer bias

• confirmation bias

• non-response bias, response bias, question wording bias, and sampling bias

• recall bias

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CCSS.HSS.IC.B.3

When you are interested in data from every individual in a particular setting, this is called a...

• census

• sample

• strata

• correlation coefficient