Business Analytics II

Catalog description

Practical applications of statistical tools and techniques to business problems. Emphasis is placed on research, design and interpretation of results and the implications of those results for business decision-making. Statistical techniques will include the more commonly used research methods, research designs, results interpretation in support of decision making in the era of "big data." Topics will include correlations, simple and multiple regression; special cases of multivariate regression will also be addressed. The study of research methods will also include the commonly used tests used to assess validity, reliability, data set distributions, and other tests commonly used in applied research. Prerequisite: BUSA 2100 or MATH 2100. Typically Offered: Demorest: Fall and Spring, Online: Fall