Problem

Subjects are randomly assigned to tutoring or control. State what random assignment does for confounding and causal inference, and explain the separate population-generalization limit.

Big Picture

What this problem is really about

Verify that a chance mechanism, rather than participant preference, assigns the treatment labels. Random assignment tends to balance observed and unobserved confounders across groups in expectation, supporting a causal comparison among participants under the study assumptions without guaranteeing perfect balance. Whether that result represents a broader population depends separately on recruitment or sampling.

Answer choices

Choose your path.

Preview only

Subjects self-select tutoring or control, which balances confounders in expectation and supports a causal tutoring comparison; generalization still depends on recruitment.

Treatment is not assigned, so the groups may be confounded and support only association; population generalization nevertheless follows automatically.

Random treatment labels balance confounders in expectation and support a causal tutoring-effect comparison among participants; generalization depends on recruitment.

Random treatment labels balance confounders and support a causal tutoring comparison, and random assignment automatically makes participants representative of the population.

The choices are visible. Checking your work and seeing which answer is correct happen inside Gozunta.

Subjects are randomly assigned to tutoring or control. State what random assignment does for confounding and causal inference, and explain the separate population-generalization limit.

What this problem is really about

Turn the preview into practice.

Gozunta lets you study this problem—and more than 10,000 others.