AP Stats Ch 11-13 Multiple Choice Practice

Front

What is a stratified sample?

Back

A sampling technique where the population is divided into subgroups (strata) that share similar characteristics, and samples are drawn from each stratum.

Front

Why is it important to guard against confounding in experiments?

Back

Confounding can lead to uncertainty about which variable is causing an effect, making it difficult to draw valid conclusions.

Front

What is an explanatory variable?

Back

A variable that is manipulated or categorized to observe its effect on a response variable.

Front

What is a simple random sample?

Back

A sampling method where every individual in the population has an equal chance of being selected.

Front

What is a randomized block design?

Back

An experimental design that involves dividing subjects into blocks based on a certain characteristic and then randomly assigning treatments within each block.

Front

What is the purpose of randomization in experiments?

Back

To eliminate bias and ensure that the treatment groups are comparable.

Front

What is a response variable?

Back

The outcome or effect that is measured in an experiment to see if it is influenced by the explanatory variable.

Front

What is confounding in the context of experiments?

Back

A situation where two or more variables are intertwined, making it difficult to determine the individual effect of each variable.

Front

What is the difference between a population and a sample?

Back

A population includes all members of a specified group, while a sample is a subset of the population selected for analysis.

Front

What is the role of blinding in experiments?

Back

Blinding helps to prevent bias by keeping participants and/or researchers unaware of which treatment is being administered.