New chatGPT 3.5 Instruction (Prompt) to Calculate Statistical Indicators for Student Graduation Projects

Abstract

The paper aims to develop a new chatGPT 3.5 instruction (prompt) for computing statistical indicators in student graduation projects. A bibliometric analysis of 79606 sources published in the Scopus database revealed a high level of interest in solving problems related to "graduation projects" and "statistical indicators." Numerous studies emphasize the importance of probability and statistics education. Concurrently, educators are advised to abandon teaching manual calculation methods to students. ChatGPT could serve as a modern tool for computing statistical indicators. Modern methods employed in this research included reviewing scientific literature, analysis and synthesis, bibliometric analysis, mathematical modeling, computation of statistical indicators, and verification of statistical hypotheses using Z-statistics. Five examples of calculating statistical indicators are provided in this paper. Three tools were used for computing statistical indicators, with the new chatGPT 3.5 instruction (prompt) serving as the experimental method, while Excel tables and Windows calculator were used as control methods. Verification of statistical hypotheses using Z-statistics demonstrated the equality of results between experimental and control methods. The standard testing level was set at α = 0.05. The novelty of this work lies in the creation of the new chatGPT 3.5 instruction (prompt) for computing statistical indicators in student graduation projects. Additionally, a User's Guide has been published. The practical value of this work lies in reducing the time and simplifying the method for computing statistical indicators in preparing graduation projects, as well as in improving their quality. An additional benefit is the expanded use of computers for educational purposes.