This includes the performance of data analysis and the use of a statistical tool, -"SAS". The topics related to this course includes description of data and reading of data, longitudinal and dates data, concepts of categorical or qualitative data, non-parametric comparisons, analysis of multivariate data, correlation and regression, multiple regression and how macros and arrays should be used in SAS. There is no such requirement that the knowledge of SAS should be known beforehand. Some statistical techniques are assumed to be known at level of stats 191 or 201.
TutorTeddy.com & Boston Predictive Analytics
[ Email your Statistics or Math problems to firstname.lastname@example.org (camera phone photos are OK) ]
Boston Office (Near MIT/Kendall 'T'): Cambridge Innovation Center, One Broadway, 14th Floor, Cambridge, MA 02142, Phone: 617-395-8864