The Basic Application of Biostatistics to Biomedical Science Using R Programming

Statistics is defined as the combination of numerous mathematical methods and logic models that are used for appropriate decisions making or judgments that involves uncertainty. However, the expected result could be certain/uncertain. Hence, it can be applied in many areas of life, which includes problem-solving purposes, investigations, and for making scientific conclusions. In biomedicine, the study of statistics is known as biostatistics. It involves the applications of control methods and pathophysiological modeling for data interpretation and presentation. This paper reveals the concept of data analysis as related to biostatistics and its methods which are useful for Statisticians with the use of R programming language. When raw data cannot be interpreted, it is then processed using fundamental statistical tools/methods. Therefore, this paper highlights the statistical methods that are required for a well-processed data and how the methods are applied. The purpose of this paper is to prove the ability to choose the statistical method and test which is suitable for a specific investigation, how to apply the test, and interpret the results using tables and graphs.