Strengthening Statistical Computing for NARS (Pamphlet)

Abstract

Statistical analysis is an important tool to extract as much information as possible from the given data. Statistical computing methods enable to answer quantitative biological questions from research data and help to plan new experiments in a way that the amount of information generated from each experiment is maximized. Widespread use of computers and specialized high end statistical software packages have helped and greatly Improved the ability of researchers to analyze and interpret voluminous data. Developments in computerized statistical analysis have enhanced the ability of researchers to come up with better conclusions. This has helped in improving the statistical, computer-related and networking skills of the researchers. For exploiting and sustaining these developed skills, availability of proper computing and infrastructure facilities to agricultural researchers in National Agricultural Research System (NARS) is of utmost consequence. The statistical computing support would be useful In improving the quality of agricultural research and make it globally competitive and acceptable by way of publications in International refereed journals. The present project, therefore, targets at providing technical support on the component of statistical computing by applications of general purpose statistical software package that help In undertaking appropriate. sophisticated and computationally involved statistical analysis of data keeping In mind also the accuracy and precision of results. It is expected to create a healthy statistical computing environment for the benefit of the scientists in NARS by way of providing advanced, versatile and innovative and state-of-the-art high end statistical packages and enable them to draw meaningful and valid inferences from their research.