Algebra 2: Types of Surveys and Samples

Questions and Answers

What is an Observational Study?

Researchers don't assign choices; they just simply observe them.

What defines an Experimental Study?

Researchers randomly assign subjects to different factors and compare the results of the study.

What is a Sample Survey?

Data is to be collected only from some members of the population.

What is a Census Survey?

Data is to be collected from each member of the population. Signup and view all the answers

What is a Voluntary Response Sample?

A large group of people is invited to respond, and all who respond are counted. Signup and view all the answers

What characterizes a Convenience Sample?

Only includes individuals who are convenient to the sample. Signup and view all the answers

What are Systematic Random Samples?

When statisticians try to incorporate as much randomness as they can into their samples. Signup and view all the answers

What is a Simple Random Sample?

When every person in the population has an equal chance at being selected. Signup and view all the answers

What are Cluster Samples?

Statisticians might divide the population into smaller representative clusters of the population and randomly choose clusters. Signup and view all the answers

What are Stratified Samples?

Statisticians might divide the population into groups that are each alike for a particular characteristic, then randomly sample from each group. Signup and view all the answers

What are Judgment Samples?

When a sample is unscientific and judged based on what someone thinks is 'typical'. Signup and view all the answers

Study Notes

Types of Studies

Observational Study: Researchers observe subjects without assigning choices or conditions, focusing purely on the natural behaviors or characteristics.
Experimental Study: Researchers assign subjects randomly to different conditions or factors to compare outcomes, allowing for controlled experimentation.

Types of Surveys

Sample Survey: Involves collecting data from a subset of the population rather than the entire group, allowing for manageable data collection.
Census Survey: Requires data collection from every member of the population, providing a complete overview of all subjects.

Types of Sampling Methods

Voluntary Response Sample: Involves inviting a large group to respond; all willing participants are included, which may lead to bias due to self-selection.
Convenience Sample: Comprises individuals who are easily accessible or convenient to the researcher, potentially compromising representativeness.

Random Sampling Techniques

Systematic Random Samples: Aims to introduce randomness into the selection process, often using a fixed interval or pattern to choose participants.
Simple Random Sample: Ensures every individual in the population has an equal chance of being selected, promoting fairness and unbiased representation.

Cluster and Stratified Sampling

Cluster Samples: Involves dividing the population into smaller, representative clusters and randomly selecting entire clusters for the study.
Stratified Samples: Involves dividing the population into distinct groups based on shared characteristics and randomly sampling from each group to ensure representation across key segments.

Judgmental Sampling

Judgment Samples: An unscientific method where a sample is deemed "typical" based on the researcher's subjective judgment, lacking formal selection processes.

Description

Test your understanding of various types of surveys and sampling methods in this algebra 2 quiz. Learn the differences between observational studies, experimental studies, and sample surveys through flashcards that define each concept.