ABSTRACT
Objective:This study aims to explore the feasibility and practicality of ChatGPT in scientific research statistics through examples, in order to better understand and evaluate the application value of ChatGPT in scientific research statistics.Methods:Literature research was used to illustrate the principles of ChatGPT artificial intelligence model, combined with practical examples and tests, to assess the reliability of its results and analyze the advantages and limitations of ChatGPT in scientific research statistics.Results:ChatGPT can be applied to various scenarios in scientific research statistics, such as literature retrieval and organization, experimental design, statistical analysis programming, and statistical graphing. It can provide efficient scientific research statistical analysis capabilities, but it also has limitations.Conclusions:Although there are limitations, ChatGPT has a promising future in scientific research statistics, and it will be applied widely and deeply to greatly facilitate scientific research.