For a hypothesis to be valid, it must be testable and falsifiable, meaning it can be supported or refuted through experimentation or observation. It should also be based on existing knowledge or theories and clearly state the expected relationship between variables. Additionally, a valid hypothesis should be specific and measurable, allowing for precise data collection and analysis.
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