Center for Innovation and Analytics Departments Academic Affairs Audit and Advisory Services Finance and Administration Human Resources Information Technology Office of the President Student Affairs University Advancement University Relations Colleges Other Offices and Departments Center for Innovation and Analytics About the Center for Innovation and Analytics AnalyticsAreas of Growth in Analytics Analytics Career Preparation Microsoft Office Specialist Certifications Analytics Courses Executives in Residence in Analytics Success Stories Analytics Events SAS Joint Graduate Certificate in Business Analytics Analytics ResourcesAnalysis Resources Basic Statistics Resources Business Concepts Resources Confidence Intervals Resources Correlation/Regression Resources Data Visualization Resources Distribution Resources Excel Resources Forecasting Resources Hypothesis Testing Resources Measures of Central Tendency Resources Multivariate Resources Prime Numbers Resources Probability Resources Research Design Resources Sampling Resources SAS Enterprise Guide Resources Set Vectors Resources Vectors Resources Online SAS Joint Graduate Certificate in Business Analytics Certificate InnovationInnovation Courses COBE BB&T Innovation Competition The Background to Support the Center What the Center Provides Skills Required by Employers Directors' Bios Contact Us P.O. Box 6953 Radford, VA 24142 Kyle Hall Suite 231 540.831.5513 cia@radford.edu cia-analytics@radford.edu cia-innovation@radford.edu Center for Innovation and Analytics Dr. Wil Stanton, Director wstanton@radford.edu cia-analytics@radford.edu Vicki Perkins, Administrative Assistant vperkins1@radford.edu Davis College of Business & Economics Home Analytics Resources Mathematical and Statistical Resources for Students/Faculty in the Davis College of Business and Economics AnalysisBasic StatisticsBusiness ConceptsConfidence IntervalsCorrelation/RegressionData VisualizationDistributionExcelForecastingHypothesis Testing Mathematics ConceptsMeasures of Central TendencyMultivariatePrime NumbersProbabilityResearch DesignSamplingSAS Enterprise GuideSet TheoryVectors