Problem

Enrolled patients are randomly assigned, with fixed group sizes, to a drug or placebo. Analyze the assignment mechanism, confounding, causal scope, and population-generalization limit.

Big Picture

What this problem is really about

Random assignment acts after recruitment by distributing treatment labels among enrolled units while preserving the planned group structure. It balances known and unknown confounders in expectation, which supports a causal comparison for the experimental participants under proper controls and assumptions. It does not guarantee perfect balance or make those participants representative of a broader population; recruitment determines that scope.

Answer choices

Choose your path.

Preview only

Each enrolled patient receives a random treatment label. Random assignment balances confounders in expectation and supports a causal drug-effect comparison among participants under assumptions; population generalization depends on recruitment.

Each patient chooses drug or placebo. The groups can differ in confounders, so the design does not support a causal comparison; population generalization still depends on recruitment.

Each enrolled patient receives a random treatment label. The groups are guaranteed identical on every confounder, so the drug effect is proved with certainty and generalizes to every patient.

Each enrolled patient receives a random treatment label. The groups are comparable in expectation and support a causal drug-effect comparison, and random assignment also makes the patients representative of the population.

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

Enrolled patients are randomly assigned, with fixed group sizes, to a drug or placebo. Analyze the assignment mechanism, confounding, causal scope, and 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.