Аңдатпа
This study examines the relationships between student self-management, interpersonal skills, and academic behavior through detailed statistical analysis of survey data. The survey used a Likert scale ranging from "strongly disagree" to "strongly agree" to assess respondents' perceptions of these three areas. To analyze the data, we used the JASP Frequencies: Binomial Test function, which was specifically designed to calculate confidence intervals for the proportions of responses at each level of agreement. The analysis involved calculating 95% confidence intervals for the proportion of respondents who selected each Likert scale category for each survey item. These intervals provide a range within which the true proportion of responses may fall, offering insights into general trends and the distribution of respondents' views. In addition, we used the Vovk-Sellke maximum p-ratio to further interpret the significance of the results to help understand the strength of the evidence against the null hypothesis. This exploratory analysis not only demonstrates the variability and reliability of respondents' responses, but also provides a deeper understanding of how students' self-management, interpersonal skills, and academic behaviors are perceived at different levels of agreement. Using these statistical methods, research aims to uncover patterns and relationships in the data, thereby contributing to a deeper understanding of the factors that influence student achievement.