Research on the Psychological Behaviors of Undergraduates During the Covid-19 Pandemic Through Data Analysis
- DOI
- 10.2991/978-94-6463-040-4_98How to use a DOI?
- Keywords
- Data Analysis; Statistical analysis; T-test; Psychological behaviour; Research
- Abstract
Data analysis refers to analyzing the collected mass data through proper statistical analysis methods, meanwhile summarizing, comprehending and digesting it to exploit its functions to the largest extent, so as to give play to its effect. Data analysis is a process in which data is researched and summarized in detail, so as to extract useful information and form a conclusion. Under the background of the Covid-19, descriptive statistics are used Under the COVID-19 epidemic, we use descriptive statistics. The dropping objects are mainly college students from Dalian Vocational and Technical College and Dalian University of Technology. The dropping majors include mechanical design and manufacturing, preschool education and other majors. We followed up with the group using the same questionnaire. It is hoped that the measurement results of college students' psychological cognition under the COVID-19 epidemic could be obtained. Then the T-test is applied, which is to deduct the occurrence probability of difference based on t-distribution theory, so as to compare whether the differences between 2 mean values are significant or not.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yun Liu PY - 2022 DA - 2022/12/27 TI - Research on the Psychological Behaviors of Undergraduates During the Covid-19 Pandemic Through Data Analysis BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 646 EP - 651 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_98 DO - 10.2991/978-94-6463-040-4_98 ID - Liu2022 ER -