![]() ![]() ![]() In these studies, the common parameters are either to estimate a ‘mean’ or ‘proportion’ of a parameter of a population concerned. In this regard, there are some concerns about determining adequate sample size for studies where particular parameters of populations are estimated. Quality or strength of statistical inference depends largely on the size of the sample selected ( 1). Thus results from a single sample are subject to statistical uncertainty which is strongly related to the size of the sample. However, even a well-designed study can give only an idea of the answer sought because of random variation in the sample. ![]() If the study sample is not representative of the population, it will well mislead and statistical procedure cannot help. Statistical analysis is based on the key idea that observation on a sample of subjects is made and then draws inferences about the population from which the sample is drawn. As scientific merit and ethical issue go hand-in-hand, the awareness of determination of minimum required sample size and application of appropriate sampling methods are extremely important in achieving scientifically and statistically sound results.
0 Comments
Leave a Reply. |