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Reseach Article

Statistical Hypothesis Testing: Tool for Drawing Meaningful Conclusions

by Amit Shekhar, Sachin Patel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 10
Year of Publication: 2022
Authors: Amit Shekhar, Sachin Patel
10.5120/ijca2022921967

Amit Shekhar, Sachin Patel . Statistical Hypothesis Testing: Tool for Drawing Meaningful Conclusions. International Journal of Computer Applications. 184, 10 ( Apr 2022), 1-4. DOI=10.5120/ijca2022921967

@article{ 10.5120/ijca2022921967,
author = { Amit Shekhar, Sachin Patel },
title = { Statistical Hypothesis Testing: Tool for Drawing Meaningful Conclusions },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2022 },
volume = { 184 },
number = { 10 },
month = { Apr },
year = { 2022 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number10/32359-2022921967/ },
doi = { 10.5120/ijca2022921967 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:21:04.287642+05:30
%A Amit Shekhar
%A Sachin Patel
%T Statistical Hypothesis Testing: Tool for Drawing Meaningful Conclusions
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 10
%P 1-4
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The hypothesis word is built with two different words first is Hypo and second is thesis. These two are combined to make the word Hypothesis. The meaning of first word is uncertain or question to the verification. The meaning of the second word is declaration about answer of a problem. A hypothesis should be specific and are testable so that the prediction can be done and we can expect it to happen in the study. To complete analysis of hypothesis there are three most important components first one is the variable used in the problem, second is size of the population, and last is what the relationship between the variables. The people who want to investigate can gowith carefully the truthful and theoretical elements that are related to the problem. Using this process we can decides the relevancy of truth. This process directs the efforts of the investigator into productive channels. This technique help and indicates what are the contents to look for is an investigation but how to obtain data. In this paper we presented some facts and study about the process of hypothesis. We also explain various term used in the hypothesis, like nature,importancecharacteristics, and limitation.

References
  1. Md. Naseef-Ur-RahmanChowdhury “Statistical Analysis based Hypothesis Testing Method in Biological Knowledge Discovery” International Journal on Computational Sciences & Applications (IJCSA) Vol.3, No.6, December 2013.
  2. John A. List _ Azeem M. Shaikh _ Yang Xu “Multiple Hypothesis Testing in Experimental Economics” John A. List Department of Economics, University of Chicago, 5757 S University Ave, Chicago, IL 60637, USA.
  3. ValentinaCipriani, Ana Quartilho “Ophthalmic statistics note 7: multiple hypothesis testing—to adjust or not to adjust” Cipriani V, et al. Br J Ophthalmol September 2015 Vol 99 No 9.
  4. John Concato, John A Hartigan “P values: from suggestion to superstition” Accepted 8 July 2016 Published Online First 3 August 2016 Copyright © 2016 American Federation for Medical Research.
  5. Chiang-Nan Chao1 “An Examination on the Chinese Students’ Rationales to Receive theirHigher Education in the U.S.” World Journal of Education Vol. 7, No. 3; 2017 .
  6. SanjoyDatta Concept of Testing of Hypothesis https://www.researchgate.net/publication/327885098SanjoyDatta on 26 September 2018.
  7. Jae H. Kim and Andrew P. Robinson “Interval-Based Hypothesis Testing and Its Applications to Economics and Finance” Econometrics 2019, 7, 21; www.mdpi.com/journal/econometrics.
  8. David Delgado-Gómez , Franks González-Landero “Improving the Teaching of Hypothesis Testing Using a Divide-and-Conquer Strategy and Content Exposure Control in a Gamified Environment” Mathematics 2020, 8, 2244; doi:10.3390/math8122244 www.mdpi.com/journal/mathematics.
  9. Bradley E. Alger Scientific Hypothesis-Testing StrengthensNeuroscience Research” July/August 2020, 7(4) ENEURO.0357-19.2020 1–10
  10. “Daniel Goldman “The Basics of Hypothesis Tests and Their Interpretations” August 2018 https://www.researchgate.net
  11. Frank EmmertStreib , and Matthias Dehmer “Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference” 27 July 2019; Accepted: 9 August 2019; Published: 12 August 2019 Mach. Learn. Knowl. Extr. 2019.
  12. Bradley E. Alger “Hypothesis-Testing Improves the Predicted Reliability of Neuroscience” Research this version posted February 4, 2019.
  13. Jingyi Jessica Li and XinTong “Statistical Hypothesis Testing versus Machine Learning Binary Classification: Distinctions and Guidelines” Department of Data Sciences and Operations, Los Angeles, CA 90089, Correspondence: https://doi.org 2020.
  14. Bradley E. Alger “Hypothesis-Testing Improves the Predicted Reliability of Neuroscience Research” this version posted February 4, 2019. ; doi: https://doi.org/10.1101/537365 bioRxiv preprint.
  15. Jingyi Jessica Li and Xin Tong “Statistical Hypothesis Testing versus Machine Learning Binary Classification: Distinctions and Guidelines” 2Department of Data Sciences and Operations, Marshall School of Business, University of Southern California, Los Angeles, CA 90089, USA.
  16. Dr. Nilu Singh “Hypothesis Testing in Data Science” School of Computer Applications BabuBanarasi Das University Lucknow-UP.
Index Terms

Computer Science
Information Sciences

Keywords

Hypothesis Variables Population Relationship Facts Statement