A Review of Statistical Method for Hypothesis Testing
Keywords:
Null Hypothesis Significance Testing (NHST), Statistical Method, Hypothesis Testing, Alternative Hypothesis, ANOVA, Logit/Probit models, Decision MakingAbstract
In the context of research initiatives, hypothesis testing is an essential component of statistical analyses. It entails estimating the probability of an event occurring by coincidence. In this article review the various literature’s study on statistical method for hypothesis testing. In conclusion, this review highlights the enduring popularity of Null Hypothesis Significance Testing (NHST), despite growing awareness of its limitations. While disciplines like psychology and statistics show stable use, NHST remains widely adopted. Nonparametric methods offer flexible alternatives when assumptions of parametric tests are unmet. The importance of multiple testing correction, careful model selection, and transparent reporting is emphasized to ensure validity and reproducibility. Researchers should move beyond sole reliance on p-values, incorporating confidence intervals and contextual relevance. Advancing statistical literacy and methodological rigor is essential for enhancing the quality and impact of hypothesis-driven research across diverse fields.
References
[1] D. P. Turner, H. Deng, and T. T. Houle, "Statistical Hypothesis Testing: Overview and Application," Headache, vol. 60, no. 2, pp. 302-308, 2019,https://doi.org/10.1111/head.13706
[2] P. J. Veazie, "Understanding statistical testing," SAGE Open, vol. 5, no. 1, 2015,https://doi.org/10.1177/2158244014567685
[3] S. Pednekar, R. D. Kulkarni, and P. Mahanwar, "STATISTICAL METHODS AND TESTING OF HYPOTHESIS," 2022.
[4] Beeranna and N. G. Basappa, "The Role of Education In Shaping Awareness and Attitudes Towards Politics In Special Reference To Yadagiri District, Karnataka," Int. J. Innov. Sci. Eng. Manag., pp. 55-62, 2024, doi: 10.69968//ijisem.2024v3i455-62.
[5] R. McNulty, "A logical analysis of null hypothesis significance testing using popular terminology," BMC Med. Res. Methodol., vol. 22, no. 1, pp. 1-9, 2022,https://doi.org/10.1186/s12874-022-01696-5
[6] N. Ben and S. K. Yadav, "Women Empowerment - A Study of SHGS in Satna & Maihar District of Madhya Pradesh," Int. J. Innov. Sci. Eng. Manag., pp. 324-332, 2025,https://doi.org/10.69968/ijisem.2025v4i1324-332
[7] D. Szucs and J. P. A. Ioannidis, "When null hypothesis significance testing is unsuitable for research: A reassessment," Front. Hum. Neurosci., vol. 11, no. August, 2017,https://doi.org/10.3389/fnhum.2017.00390
[8] A. J. Harrison et al., "Recommendations for statistical analysis involving null hypothesis significance testing," Sport. Biomech., vol. 19, no. 5, pp. 561-568, 2020,https://doi.org/10.1080/14763141.2020.1782555
[9] S. L. Pugh and A. Molinaro, "The nuts and bolts of hypothesis testing," Neuro-Oncology Pract., vol. 3, no. 3, pp. 139-144, 2015,https://doi.org/10.1093/nop/npv052
[10] P. Ranganathan and C. S. Pramesh, "An introduction to statistics: Understanding hypothesis testing and statistical errors," Indian J. Crit. Care Med., vol. 23, pp. S230-S231, 2019,https://doi.org/10.5005/jp-journals-10071-23259
[11] R. A. Cooper, "Making Decisions with Data: Understanding Hypothesis Testing & Statistical Significance," Am. Biol. Teach., vol. 81, no. 8, pp. 535-542, 2019,https://doi.org/10.1525/abt.2019.81.8.535
[12] S. Bahariniya and F. Madadizadeh, "Review of the statistical methods used in original articles published in iranian journal of public health from 2015-2019: A review article," Iran. J. Public Health, vol. 50, no. 8, pp. 1577-1585, 2021,https://doi.org/10.18502/ijph.v50i8.6803
[13] T. Hamasaki, F. Bretz, L. M. LaVange, P. Müller, G. Pennello, and J. C. Pinheiro, "Editorial: Roles of Hypothesis Testing, p-Values and Decision Making in Biopharmaceutical Research," Stat. Biopharm. Res., vol. 13, no. 1, pp. 1-5, 2021,https://doi.org/10.1080/19466315.2021.1874803
[14] C. F. Henríquez-roldán, S. I. Bangdiwala, R. I. Barrera-, Á. S. Bustos-rubilar, S. I. Bangdiwala, and R. I. Barrera-, "From hypothesis to conclusion: the essential role of statistics in science," Res. Stat., vol. 3, no. 1, p., 2025,https://doi.org/10.1080/27684520.2025.2450532
[15] F. Emmert-Streib, "Trends in null hypothesis significance testing: Still going strong," Heliyon, vol. 10, no. 21, p. e40133, 2024,https://doi.org/10.1016/j.heliyon.2024.e40133
[16] M. Jangir, D. Singh Chahar, R. Lal, and S. Sharma, "an Overview of Statistics: Comprehending Hypothesis Testing and Statistical Imperfections (Errors and Bias)," World J. Pharm. Med. Res. www.wjpmr.com │, vol. 10, no. 4, p. 90, 2024,www.wjpmr.com
[17] B. D. Rogers, "Null Hypothesis Statistical Testing: A Survey of the History, Critiques, and Alternative Methodologies," (Doctoral Diss., 2022.
[18] A. Y. Suvorov et al., "Statistical hypothesis testing: general approach in medical research," Sechenov Med. J., vol. 13, no. 1, pp. 4-13, 2022,https://doi.org/10.47093/2218-7332.2022.426.08
[19] A. van Witteloostuijn and J. van Hugten, "The state of the art of hypothesis testing in the social sciences," Soc. Sci. Humanit. Open, vol. 6, no. 1, p. 100314, 2022,https://doi.org/10.1016/j.ssaho.2022.100314
[20] D. A. Mata and D. A. Milner, "Statistical Methods in Experimental Pathology: A Review and Primer," Am. J. Pathol., vol. 191, no. 5, pp. 784-794, 2021,https://doi.org/10.1016/j.ajpath.2021.02.009
[21] T. R. Dyckman and S. A. Zeff, "Important issues in statistical testing and recommended improvements in accounting research," Econometrics, vol. 7, no. 2, 2019,https://doi.org/10.3390/econometrics7020018
[22] F. Emmert-Streib and M. Dehmer, "Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference," Mach. Learn. Knowl. Extr., vol. 1, no. 3, pp. 945-962, 2019,https://doi.org/10.3390/make1030054
[23] J. K. Kruschke and T. M. Liddell, "The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective," Psychon. Bull. Rev., vol. 25, no. 1, pp. 178-206, 2018,https://doi.org/10.3758/s13423-016-1221-4
