Statistical Analysis of Big Data to Improvise Health Care

In the world today the information technology had played a great impact in the form of rapid digitization. The challenge towards this digitization lies in collection, analysis, storage of such huge datasets. Moreover, the analysis of such datasets may infer some new information such as diagnosis, therapy and prevention at an early stage. This paper proposes to use statistical tests to quantitatively analyses the datasets of patients to reveal some new unknown patterns. May not to an increasedlife span it may provide the precaution as the repeated analysis of various data samples may mark the beginning of identification of new panorama for some life threatening malignant disease. This paper focuses on various sampling tests to prove the effectivenessof the therapy and the varied outcomes across the subject of diversified malignancy of the malady. Further this helps easy recognition of entangled health care environment. These statistical methods can be implemented in any of the programming languages like R, Octave, MatLab. This paper summarizes the utilization of available statistical methods to improve the quality of treatment and the life of entire ailing population.