College students' innovation and entrepreneurship model based on probability theory statistics
In order to better realize the innovation and entrepreneurship model of college students, the author proposed a statistical method based on probability theory. Based on the data obtained from the questionnaire on "university students in the community of innovation and entrepreneurship", th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2023-07-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.1.00121 |
| _version_ | 1797266112438599680 |
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| author | Ao Dun Mo Rigen |
| author_facet | Ao Dun Mo Rigen |
| author_sort | Ao Dun |
| collection | DOAJ |
| description | In order to better realize the innovation and entrepreneurship model of college students, the author proposed a statistical method based on probability theory. Based on the data obtained from the questionnaire on "university students in the community of innovation and entrepreneurship", this paper analyzes the existing problems already in the innovation and entrepreneurship of college students in the community. Second, on the basis of pattern analysis and data reliability, the analysis method based on principal analysis is used to determine the eight factors that influence the innovation and entrepreneurship among college students in the community. In addition, innovative and effective business opportunities for community college students based on statistical results have been developed. The test results show that: from the prediction of the last three sets of models, the average relative error of y1 and y2 is 0.0013 and 0.0984 respectively, and the error is less 0.1, indicating that the relative error of the model is within the acceptable range. The results calculated by the model are accurate according to the actual situation from the question. It can be seen that the author uses the analysis method as the principal analysis to determine the eight important factors that affect the innovation and entrepreneurship of the students. High society is necessary, which proves that the design model created by the author is scientific and practical. |
| first_indexed | 2024-03-07T16:19:19Z |
| format | Article |
| id | doaj.art-f2be2c6389a24bb0a43cad05f31a7af5 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-04-25T00:55:31Z |
| publishDate | 2023-07-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-f2be2c6389a24bb0a43cad05f31a7af52024-03-11T10:05:46ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562023-07-01821601161010.2478/amns.2023.1.00121College students' innovation and entrepreneurship model based on probability theory statisticsAo Dun0Mo Rigen11Inner Mongolia Medical University, College of humanities education, Hohhot Inner Mongolia Autonomous Region, 010001, China2Inner Mongolia Medical University, College of Marxism, Hohhot Inner Mongolia Autonomous Region, 010001, ChinaIn order to better realize the innovation and entrepreneurship model of college students, the author proposed a statistical method based on probability theory. Based on the data obtained from the questionnaire on "university students in the community of innovation and entrepreneurship", this paper analyzes the existing problems already in the innovation and entrepreneurship of college students in the community. Second, on the basis of pattern analysis and data reliability, the analysis method based on principal analysis is used to determine the eight factors that influence the innovation and entrepreneurship among college students in the community. In addition, innovative and effective business opportunities for community college students based on statistical results have been developed. The test results show that: from the prediction of the last three sets of models, the average relative error of y1 and y2 is 0.0013 and 0.0984 respectively, and the error is less 0.1, indicating that the relative error of the model is within the acceptable range. The results calculated by the model are accurate according to the actual situation from the question. It can be seen that the author uses the analysis method as the principal analysis to determine the eight important factors that affect the innovation and entrepreneurship of the students. High society is necessary, which proves that the design model created by the author is scientific and practical.https://doi.org/10.2478/amns.2023.1.00121probability theory statisticscollege studentsbusiness model62h10 |
| spellingShingle | Ao Dun Mo Rigen College students' innovation and entrepreneurship model based on probability theory statistics Applied Mathematics and Nonlinear Sciences probability theory statistics college students business model 62h10 |
| title | College students' innovation and entrepreneurship model based on probability theory statistics |
| title_full | College students' innovation and entrepreneurship model based on probability theory statistics |
| title_fullStr | College students' innovation and entrepreneurship model based on probability theory statistics |
| title_full_unstemmed | College students' innovation and entrepreneurship model based on probability theory statistics |
| title_short | College students' innovation and entrepreneurship model based on probability theory statistics |
| title_sort | college students innovation and entrepreneurship model based on probability theory statistics |
| topic | probability theory statistics college students business model 62h10 |
| url | https://doi.org/10.2478/amns.2023.1.00121 |
| work_keys_str_mv | AT aodun collegestudentsinnovationandentrepreneurshipmodelbasedonprobabilitytheorystatistics AT morigen collegestudentsinnovationandentrepreneurshipmodelbasedonprobabilitytheorystatistics |