Analysis and optimization of the applicability of hypothesis testing methods

Research Article
Open access

Analysis and optimization of the applicability of hypothesis testing methods

Sirui Zhang 1*
  • 1 School of Mathematics and Computer Science, Hengshui University, Hebei China, 053010    
  • *corresponding author hsxyjwc@hsnc.edu.cn
AORPM Vol.4 Issue 1
ISSN (Print): 3029-0899
ISSN (Online): 3029-0880

Abstract

With the continuous development of science and technology and other fields in today's world, statistical analysis and research have become indispensable research methods in people's daily lives. Among these, hypothesis testing plays an important role in fields such as biology, medicine, and economics, and has significant effects in most scenarios. However, the suitability and effectiveness of different hypothesis testing methods vary depending on the context, often leading to different outcomes and levels of accuracy. This paper focuses on discussing various hypothesis testing methods in statistics, such as t-test, chi-square test, z-test, F-test, etc. In addition, this study analyzes various cases in real life and optimize and improve some hypothesis testing methods. Based on a review of existing literature, the study explores how traditional hypothesis testing determines statistical significance—where the null hypothesis is rejected if the test statistic falls within the rejection region. To improve and enhance the determination of the significance level, handle uncertainty, and increase the sample size, this paper proposes alternative methods such as NHST test, Bayesian test, big data sequential test, and failure rate hypothesis test from the perspectives of medicine and kinesiology.

Keywords:

hypothesis testing, applicability analysis, significance test, index evaluation method, multiple hypothesis testing

Zhang,S. (2025). Analysis and optimization of the applicability of hypothesis testing methods. Advances in Operation Research and Production Management,4(1),75-78.
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References

[1]. Wen, Z. L., Xie, J. Y., Fang, J., & Wang, Y. F. (2022). Methodological research on hypothesis testing and related issues in China over the past two decades. Advances in Psychological Science, 30(8), 1667–1681.

[2]. Gong, J. J. (2023). Research and practical exploration of IFHCI quality audit methods based on statistical hypothesis testing theory. Value Engineering, 42(27), 33–35.

[3]. Zeng, H. X., Yang, Z. Y., Liu, D. H., Wang, R. H., Chen, H. S., Zhang, H. W., . . . & Cao, G. W. (2023). Application of common statistical analysis methods in medical research. Shanghai Journal of Preventive Medicine, 35(8), 831–839. https://doi.org/10.19428/j.cnki.sjpm.2023.22771

[4]. Wen, Z. L., Xie, J. Y., Fang, J., & Wang, Y. F. (2022). Methodological Research on Hypothesis Testing and Related Issues in China over the Past Two Decades. Advances in Psychological Science, 30(08), 1667–1681.

[5]. Zheng, Y. L. (2024). Failure rate evaluation method based on fault data and hypothesis testing. Civil Aircraft Design and Research, 4, 71–75. https://doi.org/10.19416/j.cnki.1674-9804.2024.04.012

[6]. Xu, X. Q., Guo, P. C., Feng, G. S., Wang, H. W., Liu, Z. M., & Han, W. (2023). Application of hypothesis testing methods in technical and tactical analysis of elite badminton matches. In Proceedings of the 13th National Sports Science Congress: Special Report (Sports Statistics Section) (pp. 87–89). Competitive Sports College of Shandong Sport University; Qixian Second Senior High School Sports Group; School of Physical Education, Shandong Sport University.

Cite this article

Zhang,S. (2025). Analysis and optimization of the applicability of hypothesis testing methods. Advances in Operation Research and Production Management,4(1),75-78.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Journal：Advances in Operation Research and Production Management

Volume number: Vol.4
Issue number: Issue 1
ISSN：3029-0880(Print) / 3029-0899(Online)

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References

[1]. Wen, Z. L., Xie, J. Y., Fang, J., & Wang, Y. F. (2022). Methodological research on hypothesis testing and related issues in China over the past two decades. Advances in Psychological Science, 30(8), 1667–1681.

[2]. Gong, J. J. (2023). Research and practical exploration of IFHCI quality audit methods based on statistical hypothesis testing theory. Value Engineering, 42(27), 33–35.

[3]. Zeng, H. X., Yang, Z. Y., Liu, D. H., Wang, R. H., Chen, H. S., Zhang, H. W., . . . & Cao, G. W. (2023). Application of common statistical analysis methods in medical research. Shanghai Journal of Preventive Medicine, 35(8), 831–839. https://doi.org/10.19428/j.cnki.sjpm.2023.22771

[4]. Wen, Z. L., Xie, J. Y., Fang, J., & Wang, Y. F. (2022). Methodological Research on Hypothesis Testing and Related Issues in China over the Past Two Decades. Advances in Psychological Science, 30(08), 1667–1681.

[5]. Zheng, Y. L. (2024). Failure rate evaluation method based on fault data and hypothesis testing. Civil Aircraft Design and Research, 4, 71–75. https://doi.org/10.19416/j.cnki.1674-9804.2024.04.012

[6]. Xu, X. Q., Guo, P. C., Feng, G. S., Wang, H. W., Liu, Z. M., & Han, W. (2023). Application of hypothesis testing methods in technical and tactical analysis of elite badminton matches. In Proceedings of the 13th National Sports Science Congress: Special Report (Sports Statistics Section) (pp. 87–89). Competitive Sports College of Shandong Sport University; Qixian Second Senior High School Sports Group; School of Physical Education, Shandong Sport University.

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