The role of statistical packages in academic and industry

“Statistics is a supportive subject most of the academic disciplines in that statistical thought are needed at every stage of virtually all research investigations including planning the study, sample selection, managing the data, and interpreting the results”. The data set contains large in the sense with lakes of records and thousands of variables, these situations the statistician has to use software like SPSS,SAS,SYSTAT, RATS,R-Software etc., So here we are proving power SAS for analysis and drawn inference accordingly. Time series data can have outliers, structural changes, and calendar effects. In the past, found a good model for time series data usually required experience and expertise in time series analysis.