PROPOSAL FOR A PROBABILISTIC MODEL TO TEST THE RESEARCH WORKS BASED ON PROBABILITY AND HYPOTHESIS CONCEPTS

Today we are living in the age of data-science and data is very crucial part to form any specific decisions. This data can be captured from any place mainly from the heterogeneous data-sources and moves to the heterogeneous data targets, to draw/ derive the inferential analysis for the same. In the research works probability plays a vital role, which includes Null and/ or Alternate hypothesis, which is truly depends upon the multiple factors likewise number of samples taken, type of distributions (Normal and/or Binomial distribution) etc. A minute glitch in the inferential analysis can hamper the overall research work. So, it is imperative to take care of these things that nothing should be missed out. So, we have automated this whole process and made a model that takes the data-set performs computation on the same and provide the results that either Null Hypothesis should be accepted or rejected. If rejected then alternate hypothesis should be selected. For this research paper we have limited ourself to the 3 Hypothesis testing modules and 3 non-Hypothesis testing modules. But the same can be modified as per the requirement.