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Which type of reasoning—inductive or deductive—relies on collecting additional observations to increase the probability that a generalized conclusion is correct? Explain why this type of reasoning benefits from more data.

Answer

Inductive reasoning. Inductive reasoning moves from specific observations to a generalized conclusion, which is inherently probable rather than guaranteed. Because the strength of an inductive argument depends on the quantity and quality of empirical evidence, gathering additional observations reduces uncertainty and increases the probability that the generalization is accurate.

Explanation

### Why this is right The prompt concerns gathering observations to strengthen an evidence-based conclusion. That fits induction, because inductive reasoning builds patterns and predictions from specific cases and remains dependent on evidence strength. ### What a good answer covers - Identify induction as the most direct choice when more observations are needed. - Explain that inductive conclusions are probable, not guaranteed. - Connect additional data to assessing whether an observed pattern is strong. - Note that deduction would require a general rule or premise supporting the request. ### Watch out The answer depends on the reason for requesting data. More data can strengthen an inductive assessment, but a separate rule could also require data collection. ### Remember When the goal is to test or strengthen a pattern from observations, think inductively.

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