Evaluating the Accuracy and Explanatory Quality of Large Language Models ChatGPT, Claude, DeepSeek, Gemini, Grok, and Le Chat in Statistical Test Selection for Hypothesis Testing Decisions.
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| Title: | Evaluating the Accuracy and Explanatory Quality of Large Language Models ChatGPT, Claude, DeepSeek, Gemini, Grok, and Le Chat in Statistical Test Selection for Hypothesis Testing Decisions. |
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| Authors: | Shukla M; Community Medicine, All India Institute of Medical Sciences, Raebareli, Raebareli, IND., Pandey D; Community Medicine, Amar Shaheed Jodha Singh Atayiya Thakur Dariyao Singh Medical College, Fatehpur, IND., Kaur S; Community Medicine, Ganesh Shankar Vidyarthi Memorial Medical College, Kanpur, IND., Agarwal M; Physiology, All India Institute of Medical Sciences, Raebareli, Raebareli, IND., Goyal A; Community Medicine, All India Institute of Medical Sciences, Raebareli, Raebareli, IND., Sharma H; Community Medicine, All India Institute of Medical Sciences, Raebareli, Raebareli, IND. |
| Source: | Cureus [Cureus] 2025 Oct 19; Vol. 17 (10), pp. e94949. Date of Electronic Publication: 2025 Oct 19 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Cureus, Inc Country of Publication: United States NLM ID: 101596737 Publication Model: eCollection Cited Medium: Print ISSN: 2168-8184 (Print) Linking ISSN: 21688184 NLM ISO Abbreviation: Cureus Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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