[2025-09-29T18:37:32.322749] [QUERYOME] Starting research for query 190: 'Instructions: 
 Answer the question below. First, respond with the single best option letter (A, B, C, or D). Then provide a concise reasoning (1–3 sentences). Use both the retrieved evidence and your own medical knowledge to choose the most accurate answer. 

Question:
Which of the following is non parametric test 

Options:
{'A': 'Pearson correlation', 'B': 'ANOVA', 'C': 'Mann whitney test', 'D': 'Student t test'}'
[2025-09-29T18:37:32.381567] [PI] Starting research for query: 'Instructions: 
 Answer the question below. First, respond with the single best option letter (A, B, C, or D). Then provide a concise reasoning (1–3 sentences). Use both the retrieved evidence and your own medical knowledge to choose the most accurate answer. 

Question:
Which of the following is non parametric test 

Options:
{'A': 'Pearson correlation', 'B': 'ANOVA', 'C': 'Mann whitney test', 'D': 'Student t test'}'
[2025-09-29T18:37:32.383183] Saving text to bench_final/run1/medmcqa/medmcqa_189/pi_initial_prompt.txt
[2025-09-29T18:37:32.388908] [PI] Calling o3 for initial analysis...
[2025-09-29T18:37:37.867499] [PI] Reasoning iteration 1
[2025-09-29T18:37:37.878542] [PI reasoning] **Identifying non-parametric tests**

I need to determine which option is non-parametric. From what I've got, Pearson correlation, ANOVA, and Student t-test all fall under parametric tests, while the Mann-Whitney test is the non-parametric choice. So, the answer is C. I should provide a brief reasoning to justify this. I also need to check if citations are necessary, and since they are, I'll look for a source to back up the classification of the Mann-Whitney test as non-parametric.
[2025-09-29T18:37:37.880462] [PI] Executing function call 1: hybrid_search
[2025-09-29T18:37:37.882054] [PI] Function arguments: {'query': 'Mann Whitney test non parametric', 'k': 5, 'faiss_weight': 0.4, 'bm25_weight': 0.6, 'use_rrf': True}
[2025-09-29T18:37:37.883695] Saving JSON to bench_final/run1/medmcqa/medmcqa_189/pi_iteration_1_tool_call_2_hybrid_search.json
[2025-09-29T18:38:32.866209] [PI] Function hybrid_search executed successfully
[2025-09-29T18:38:32.879065] Saving JSON to bench_final/run1/medmcqa/medmcqa_189/pi_iteration_1_tool_result_2_hybrid_search.json
[2025-09-29T18:38:32.886132] [PI] Continuing reasoning with 1 function responses...
[2025-09-29T18:38:37.247467] [PI] Reasoning iteration 2
[2025-09-29T18:38:37.249129] [PI] Executing function call 1: hybrid_search
[2025-09-29T18:38:37.251998] [PI] Function arguments: {'query': 'Clinical research XVI Differences between medians with the Mann-Whitney U test 2013', 'k': 1, 'faiss_weight': 0.3, 'bm25_weight': 0.7, 'use_rrf': True}
[2025-09-29T18:38:37.253469] Saving JSON to bench_final/run1/medmcqa/medmcqa_189/pi_iteration_2_tool_call_2_hybrid_search.json
[2025-09-29T18:39:35.783640] [PI] Function hybrid_search executed successfully
[2025-09-29T18:39:35.788060] Saving JSON to bench_final/run1/medmcqa/medmcqa_189/pi_iteration_2_tool_result_2_hybrid_search.json
[2025-09-29T18:39:35.792384] [PI] Continuing reasoning with 1 function responses...
[2025-09-29T18:39:38.612939] [PI] Reasoning iteration 3
[2025-09-29T18:39:38.620571] [PI] Executing function call 1: hybrid_search
[2025-09-29T18:39:38.623588] [PI] Function arguments: {'query': 'PMID 24021070 publication year', 'k': 1, 'faiss_weight': 0.6, 'bm25_weight': 0.4, 'use_rrf': False}
[2025-09-29T18:39:38.626671] Saving JSON to bench_final/run1/medmcqa/medmcqa_189/pi_iteration_3_tool_call_2_hybrid_search.json
[2025-09-29T18:40:17.383768] [PI] Function hybrid_search executed successfully
[2025-09-29T18:40:17.389331] Saving JSON to bench_final/run1/medmcqa/medmcqa_189/pi_iteration_3_tool_result_2_hybrid_search.json
[2025-09-29T18:40:17.394323] [PI] Continuing reasoning with 1 function responses...
[2025-09-29T18:40:24.520793] [PI] Reasoning iteration 4
[2025-09-29T18:40:24.526096] [PI] Executing function call 1: hybrid_search
[2025-09-29T18:40:24.527698] [PI] Function arguments: {'query': 'Mann-Whitney U test nonparametric statistics', 'k': 5, 'faiss_weight': 0.4, 'bm25_weight': 0.6, 'use_rrf': True}
[2025-09-29T18:40:24.530721] Saving JSON to bench_final/run1/medmcqa/medmcqa_189/pi_iteration_4_tool_call_2_hybrid_search.json
[2025-09-29T18:40:56.782794] [PI] Function hybrid_search executed successfully
[2025-09-29T18:40:56.785902] Saving JSON to bench_final/run1/medmcqa/medmcqa_189/pi_iteration_4_tool_result_2_hybrid_search.json
[2025-09-29T18:40:56.795883] [PI] Continuing reasoning with 1 function responses...
[2025-09-29T18:41:04.173008] [PI] Reasoning iteration 5
[2025-09-29T18:41:04.175950] [PI] No function calls found in response
[2025-09-29T18:41:04.177704] [PI] No more function calls - research complete
[2025-09-29T18:41:04.179363] Saving text to bench_final/run1/medmcqa/medmcqa_189/pi_final_answer.txt
[2025-09-29T18:41:04.186732] [QUERYOME] Query completed successfully
