Statistical Analysis Guide

Research & Analysischatgpt-prompts-for-data-analysishypothesisdataset_descriptiondependent_var

Listing confounders and asking for assumption checks prevents the common mistake of running a test on data that violates its assumptions. The plain-English interpretation ensures you understand the results.

Prompt
I need to analyze whether {{hypothesis}} using the following data:

Dataset: {{dataset_description}}
Variables:
- Dependent variable: {{dependent_var}} ({{dv_type}})
- Independent variable(s): {{independent_vars}}
- Potential confounders: {{confounders}}
Sample size: {{sample_size}}
Significance level: {{alpha}}

Walk me through:
1. Which statistical test is appropriate and why (consider alternatives)
2. Assumptions to check before running the test, with code to check each one
3. The {{language}} code to run the analysis
4. How to interpret the output — what numbers matter and what they mean in plain English
5. How to report the results in a paper or presentation (APA format if applicable)
6. Limitations of this analysis and what could strengthen the conclusion

Variables to customize

{{hypothesis}}{{dataset_description}}{{dependent_var}}{{dv_type}}{{independent_vars}}{{confounders}}{{sample_size}}{{alpha}}{{language}}

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Listing confounders and asking for assumption checks prevents the common mistake of running a test on data that violates its assumptions. The plain-English interpretation ensures you understand the results.

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