Overstating Results means?

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Multiple Choice

Overstating Results means?

Explanation:
Overstating results means making a causal claim based on a mere association. When two variables move together, you’ve identified a relationship, but that does not prove that one causes the other. Inferring causation requires stronger evidence—such as showing that changes in one variable lead to changes in the other, while ruling out confounding factors and ideally using a design that establishes temporal order or experimental control. That’s why claiming causation when only a relationship was found is the best description of overstating results. The other options don’t fit because: concluding there is no relationship opposite to the observed association; overlooking sample size pertains to statistical power rather than making a causal claim from a relationship; and saying correlation implies causation also involves a causal leap, but the wording focusing on claiming causation from a found relationship captures the core error more directly.

Overstating results means making a causal claim based on a mere association. When two variables move together, you’ve identified a relationship, but that does not prove that one causes the other. Inferring causation requires stronger evidence—such as showing that changes in one variable lead to changes in the other, while ruling out confounding factors and ideally using a design that establishes temporal order or experimental control. That’s why claiming causation when only a relationship was found is the best description of overstating results.

The other options don’t fit because: concluding there is no relationship opposite to the observed association; overlooking sample size pertains to statistical power rather than making a causal claim from a relationship; and saying correlation implies causation also involves a causal leap, but the wording focusing on claiming causation from a found relationship captures the core error more directly.

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