ABSTRACT:
Hypothesis testing involves making statistical judgments about accepting or rejecting a hypothesis, which is a statement or assumption about one or more population parameters. This process aims to determine whether the evidence from a random sample supports or contradicts the hypothesis. Hypothesis testing is typically framed in terms of two hypotheses: the null hypothesis (H0) and the alternative hypothesis (HA). The null hypothesis often represents a skeptical perspective or a claim to be tested, while the alternative hypothesis represents an alternative claim or scenario. To establish the validity or falsity of a hypothesis with absolute certainty, would require examining the entire population. However, hypothesis testing focuses on how to use a random sample to assess whether there is evidence supporting or refuting the hypothesis. The skeptic typically does not reject the null hypothesis (H0) unless the evidence for the alternative hypothesis (HA) is strong enough to warrant rejecting H0 in favor of HA.
Cite this article:
V. Senthur Velmurugan. Testing Hypotheses on the Utilization of E-Resources by Research Scholars in Selected Institutions of Southern Tamil Nadu. Research Journal of Humanities and Social Sciences. 2024;15(3):183-1. doi: 10.52711/2321-5828.2024.00028
Cite(Electronic):
V. Senthur Velmurugan. Testing Hypotheses on the Utilization of E-Resources by Research Scholars in Selected Institutions of Southern Tamil Nadu. Research Journal of Humanities and Social Sciences. 2024;15(3):183-1. doi: 10.52711/2321-5828.2024.00028 Available on: https://rjhssonline.com/AbstractView.aspx?PID=2024-15-3-3
REFERENCE:
1. Wilson, T. D. On user studies and information needs. Journal of Documentation. 1981; 37(1): 3-15.
2. Leckie, G. J., Pettigrew, K. E., and Sylvain, C. Modeling the information seeking of professionals: A general model derived from research on engineers, health care professionals, and lawyers. The Library Quarterly. 1996; 66(2): 161-193. DOI: 10.1086/602864
3. Marchionini, G. M. Information seeking in electronic environments. London: Cambridge University Press. 1997
4. Gopalakrishnan, S. Information seeking model in an ICT environment. National Seminar on Library Users’ Expectations in Information and Communication Technology (ICT) Environment, Library, MIT Campus, Anna University Chennai (India). 2007
5. Schopfel, J., Chaudiron, S., Jacquemin, B., Prost, H., Severo, M., and Thiault, F. Open access to research data in electronic theses and dissertations: An overview. Library Hi Tech. 2014; 32(4): 612-627.
6. Dhanasekaran, P., and Chandrakumar, V. Perception of usage of e-journals. IJISET - International Journal of Innovative Science, Engineering and Technology. 2016; 3(2): 50-59.
7. Yoon, J. W., and Kim, S. J. Internet use by international graduate students in the USA seeking health information. Aslib Journal of Information Management. 2014; 66(2): 117-133.
8. Sohail, M., and Alvi, A. Use of web resources by medical science students of Aligarh Muslim University. DESIDOC Journal of Library and Information Technology. 2014; 34(2): 125-130.
9. Singh, V. K. Use of e-resources and services by users at Indian Institute of Management Ahmadabad: A study. IOSR Journal of Humanities and Social Science. 2015; 20(11): 38-53.