Description: Introduction to the theory of statistics, concentrating on techniques used in management science and finance. Primarily for PhD, SM, and MBA students with good backgrounds in probability and matrix algebra. Topics: sampling; theory of estimation; testing; nonparametric statistics; analysis of variance; categorical data analysis; and regression analysis. Students should consider 15.077 or 14.382 after completion of this subject. S+, SAS, or similar package used for statistical computing.
Course #: 15.076
Professor(s) who recently taught this course:
Roy Welsch