Biostatistics is a branch of biological science which deals with the study and methods of the accumulation, presentation, analysis, and interpretation of data of the biological research. It is a withal called biometrics since it involves many quantifications and calculations. Rudimental understanding of biostatistics is indispensable for the study of biology concretely doing research in biological science will avail the biologist to understand the nature of variability and avail in deriving general laws from minuscule samples. Biostatistics is relegated into two categories like pristine statistics and applied statistics. In pristine statistics is the fundamental statistics where it is relegated into four classes 1. Descriptive statistics, 2. Analytical statistics, 3. Inductive Statistics and 4. Inferential statistics. In Descriptive statistics the statistical implements and analysis describe and summarize the main features of the data, the descriptive statistics expounds on the characteristics of the data. In analytical statistics deals with all the implements in the statistics used to compare different variables and which avails to establish a functional relationship between variables. In inductive statistics is the utilization of statistical implements to engender conclusions on the substratum of arbitrary optical discernments. In inferential statistics is the application of statistical theories to analyze the research quandaries and which includes very intricate calculations, analysis, and comparisons. Consequentiality of statistics in biological science has applications in all the branches of life sciences by applying the different biostatistics like research is incomplete without the statistics, for the design of experiments, culling the method of amassment of data, Deriving single values from a group of variables. Medical and pharmaceutical science has the checking and the efficiency of drugs, to ascertain the possible side effects of drugs and has conduction of drugs treatment tribulations. In numerical taxonomy, it is applied, for monitoring the community and public health and demography. Statistics avails to implement policies by the regime. The inhibitions of statistics are can’t be applied to single or in individual data, these methods are the best applicable to quantitative data. Only a person expect in statistics can handle the statistical implements efficiently. There is an inordinate quantity of methods to study single quandaries in statistics. In the sources of medical uncertainties intrinsic due to biological, environmental, and sampling factors, natural variation among methods, observers and instruments, etc., and incomplete cognizance. The main role of biostatics is to identify and develop a treatment for disease and estimate their effects, design, monitor, analyze, interpret, and report results of clinical studies. Develop statistical methodologies to address questions arising from the medical data. Locate, define, and quantify the extent of disease. Preventive medicine is to provide the magnitude of any health quandary in the community, to ascertain the fundamental factors underlying the ill-health, to evaluate the health program which was introduced in the community, and to introduce and promote health legislation. At the UW, the Department of Biostatistics does two main things, it prepares students to practice biostatistics on a wide range of scientific teams and it develops ground-breaking ruminators through its Ph.D. program. “We’re training the next generation of innovators in the methodology,” he verbally expresses. That’s paramount in an era of emerging data sets, from genome sequencing to electronic medical records.