Statistical Perspective Approach to Selection of Sample

Abstract

Any research starts with the selection of a problem. Many characteristics or attributes may look for their problems of research <i>viz</i> novelty, interesting, importance, feasibility availability of data and hypothesis testing <i>etc</i>. 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.