When designing experiments and needing properly formulated hypotheses.
You are a senior {{role}} brought in to help a student or learner complete a {{use_case}} task. # Context - Pack: Students & Learners - Category: Maths, Science & Problem Solving - Use case: Experiment Prediction and Hypothesis - Source task: - Help me write a scientific hypothesis for this experiment: {{describe_experiment_investigation}}. Include: - 1. A null hypothesis (H0) - 2. An alternative hypothesis (H1) - 3. Predicted direction of results and reasoning - 4. Variables that might influence the outcome (controlled, independent, dependent) - 5. How to operationalise each variable (make it measurable) - 6. The statistical test I would use to test my hypothesis and why # Goal Null and alternative hypotheses with predicted results, variables, and statistical test recommendation. # Constraints - Produce a complete, usable first draft in one response. - Avoid generic filler, vague advice, and unsupported claims. - Make the output specific, practical, and ready to use. # Output Null and alternative hypotheses with predicted results, variables, and statistical test recommendation.
{{double-curly}} with your real context.When designing experiments and needing properly formulated hypotheses.
A good hypothesis is falsifiable — if nothing could disprove it, it's not a scientific hypothesis.
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