Any research starts with the selection of a problem. Many characteristics or attributes may look for their problems of research viz novelty, interesting, importance, feasibility availability of data and hypothesis testing etc. In the essence of biological research we should make a formulated hypothesis at greater accuracy and precise level of significance ‘’. The research hypothesis is a presumptive statement of a proportion or a reasonable guess based upon the available evidences or attributes, which the researcher seeks to prove through his course of study. It is also driven from deductive reasoning from a scientific theory. The researcher may begin his study by selecting the sample size is very important dogma in his own area of interest. After selecting the particular theory, the researcher proceeds to derive the hypothesis from his theory. The required sample numerals (size of the sample) is very much concern for success of the research pedagogy and also how much data will require to make a correct decision about the population parameters. If we have accurate sampled data sets, then our decision will be more accurate and there will be less standard error of the parameters estimates of research concern. In this accord the present research paper address the basic principles adopted for sample size determination with respect to biological field.
| Published in | International Journal of Discrete Mathematics (Volume 6, Issue 2) |
| DOI | 10.11648/j.dmath.20210602.12 |
| Page(s) | 38-44 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Sample Size, Hypothesis, Swat, Design of Experiments
| [1] | Fisher RA. 1935. The Design of Experiments. Oliver and Boyd. |
| [2] | Cohen I B. 1984. Florence Nightingale. Scientific American 250: 98-107. |
| [3] | Nelder J A. 1999. From statistics to statistical science. Journal of the Royal Statistical Society, Series D; 48: 257-267. |
| [4] | Sudman, Seymour. 1976. Applied Sampling. New York: Academic Press. |
| [5] | Yamane T. 1967. Statistics, An Introductory Analysis, 2nd Ed., New York: Harper and Row. |
| [6] | Kish L. 1965. Survey Sampling. New York: John Wiley and Sons, Inc. |
| [7] | Basavarajaiah D M. 2017. Recent statistical techniques in clinical research. India: Educreation, Inc. |
| [8] | Kirby A, Gebski V, Keech AC. Determining the sample size in a clinical trial. Med J Aust. 2002; 177: 256–7. |
| [9] | Larsen S, Osnes M, Eidsaunet W, Sandvik L. Factors influencing the sample size, exemplified by studies on gastroduodenal tolerability of drugs. Scand J Gastroenterol. 1985; 20: 395–400. |
| [10] | Prakesh B, Babu SR, Sureshkumar K. Response of Ayurvedic therapy in the treatment of migraine without aura. Int J Ayurveda Research. 2010; 1: 29–35. |
| [11] | Cady RK, Sheftell F, Lipton RB, O'Quinn S, Jones M, Putnam G, et al. Effect of early intervention with sumatriptan on migraine pain: Retrospective analyses of data from three clinical trials. Clin Ther. 2000; 22: 1035–48. |
APA Style
Basavarajaiah Doddagangavadi Mariyappa, Bhamidipati Narasimha Murthy, Kyathanahalli Basavanthappa Vedamurthy. (2021). Statistical Perspective Approach to Selection of Sample. International Journal of Discrete Mathematics, 6(2), 38-44. https://doi.org/10.11648/j.dmath.20210602.12
ACS Style
Basavarajaiah Doddagangavadi Mariyappa; Bhamidipati Narasimha Murthy; Kyathanahalli Basavanthappa Vedamurthy. Statistical Perspective Approach to Selection of Sample. Int. J. Discrete Math. 2021, 6(2), 38-44. doi: 10.11648/j.dmath.20210602.12
AMA Style
Basavarajaiah Doddagangavadi Mariyappa, Bhamidipati Narasimha Murthy, Kyathanahalli Basavanthappa Vedamurthy. Statistical Perspective Approach to Selection of Sample. Int J Discrete Math. 2021;6(2):38-44. doi: 10.11648/j.dmath.20210602.12
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Download@article{10.11648/j.dmath.20210602.12,
author = {Basavarajaiah Doddagangavadi Mariyappa and Bhamidipati Narasimha Murthy and Kyathanahalli Basavanthappa Vedamurthy},
title = {Statistical Perspective Approach to Selection of Sample},
journal = {International Journal of Discrete Mathematics},
volume = {6},
number = {2},
pages = {38-44},
doi = {10.11648/j.dmath.20210602.12},
url = {https://doi.org/10.11648/j.dmath.20210602.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.dmath.20210602.12},
abstract = {Any research starts with the selection of a problem. Many characteristics or attributes may look for their problems of research viz novelty, interesting, importance, feasibility availability of data and hypothesis testing etc. In the essence of biological research we should make a formulated hypothesis at greater accuracy and precise level of significance ‘’. The research hypothesis is a presumptive statement of a proportion or a reasonable guess based upon the available evidences or attributes, which the researcher seeks to prove through his course of study. It is also driven from deductive reasoning from a scientific theory. The researcher may begin his study by selecting the sample size is very important dogma in his own area of interest. After selecting the particular theory, the researcher proceeds to derive the hypothesis from his theory. The required sample numerals (size of the sample) is very much concern for success of the research pedagogy and also how much data will require to make a correct decision about the population parameters. If we have accurate sampled data sets, then our decision will be more accurate and there will be less standard error of the parameters estimates of research concern. In this accord the present research paper address the basic principles adopted for sample size determination with respect to biological field.},
year = {2021}
}
TY - JOUR T1 - Statistical Perspective Approach to Selection of Sample AU - Basavarajaiah Doddagangavadi Mariyappa AU - Bhamidipati Narasimha Murthy AU - Kyathanahalli Basavanthappa Vedamurthy Y1 - 2021/10/28 PY - 2021 N1 - https://doi.org/10.11648/j.dmath.20210602.12 DO - 10.11648/j.dmath.20210602.12 T2 - International Journal of Discrete Mathematics JF - International Journal of Discrete Mathematics JO - International Journal of Discrete Mathematics SP - 38 EP - 44 PB - Science Publishing Group SN - 2578-9252 UR - https://doi.org/10.11648/j.dmath.20210602.12 AB - Any research starts with the selection of a problem. Many characteristics or attributes may look for their problems of research viz novelty, interesting, importance, feasibility availability of data and hypothesis testing etc. In the essence of biological research we should make a formulated hypothesis at greater accuracy and precise level of significance ‘’. The research hypothesis is a presumptive statement of a proportion or a reasonable guess based upon the available evidences or attributes, which the researcher seeks to prove through his course of study. It is also driven from deductive reasoning from a scientific theory. The researcher may begin his study by selecting the sample size is very important dogma in his own area of interest. After selecting the particular theory, the researcher proceeds to derive the hypothesis from his theory. The required sample numerals (size of the sample) is very much concern for success of the research pedagogy and also how much data will require to make a correct decision about the population parameters. If we have accurate sampled data sets, then our decision will be more accurate and there will be less standard error of the parameters estimates of research concern. In this accord the present research paper address the basic principles adopted for sample size determination with respect to biological field. VL - 6 IS - 2 ER -
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