| ▲ | Karrot_Kream 17 hours ago | ||||||||||||||||
I recommend reading Wikipedia and talking to LLMs to get this one. Order values do follow power-law distributions (you're probably looking for an exponential or a Zipf distribution.) You want to ask how to perform a statistical test using these distributions. I'm a fan of Bayesian techniques here, but it's up to you if you want to use a frequentist approach. If you can follow some basic calculus you can follow the math for constructing these statistical tests, if not some searching will help you find the formulas you need. | |||||||||||||||||
| ▲ | pinkmuffinere 17 hours ago | parent [-] | ||||||||||||||||
Thanks for the suggestions! I didn't want to do the math myself, but I did take your suggestion and found some articles discussing ways to make it work even with a non-normal distribution: - https://cxl.com/blog/outliers/ - https://www.blastx.com/insights/the-best-revenue-significanc... - (online tool to calculate significance) https://www.blastx.com/rpv-calculator I'm not checking their math, but the articles make sense to me, and I trust they did implement it correctly. In the end the LLM did get me to the correct answer by suggesting the articles, so I guess I should eat some humble pie and say it _did_ help me. At the same time, if I didn't have the intuition that using rpv as-is in a t-test would be noisy, and the suggestions from this comment thread, I think I could have gone down the wrong path. So I'm not sure what my conclusion is -- maybe something like LLMs are helpful once you ask the right question. | |||||||||||||||||
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