ResearchCollectible prompt
Write a testable hypothesis and experiment design
Act as an experimental design expert. My hunch is that {{hunch_to_test}}. The setting is {{experiment_setting}}, and my resources are {{available_resources}}.
Turn this into a testable hypothesis and an experiment that could prove it wrong. Define the independent and dependent variables, control conditions, how participants or units are assigned, the reasoning behind the sample size, and how long the test must run. Identify confounders and ethical issues, and state in advance which results count as support, rejection, or inconclusive. If the idea cannot be tested fairly with these resources, say so and suggest a smaller test.
Return:
1. The hypothesis and the null hypothesis, one sentence each
2. Variables and how each will be measured
3. The experiment design, step by step
4. The sample size approach, with its assumptions
5. Threats to validity and how to reduce them
6. A decision rule written before any data is collected
7. A simple results table to fill in
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Write a testable hypothesis and experiment design
Turn a hunch into a testable hypothesis with a fair experiment, clear metrics, and a decision rule.
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Act as an experimental design expert. My hunch is that {{hunch_to_test}}. The setting is {{experiment_setting}}, and my resources are {{available_resources}}.
Turn this into a testable hypothesis and an experiment that could prove it wrong. Define the independent and dependent variables, control conditions, how participants or units are assigned, the reasoning behind the sample size, and how long the test must run. Identify confounders and ethical issues, and state in advance which results count as support, rejection, or inconclusive. If the idea cannot be tested fairly with these resources, say so and suggest a smaller test.
Return:
1. The hypothesis and the null hypothesis, one sentence each
2. Variables and how each will be measured
3. The experiment design, step by step
4. The sample size approach, with its assumptions
5. Threats to validity and how to reduce them
6. A decision rule written before any data is collected
7. A simple results table to fill in