Topics: Fundamental principles of mathematical statistics, sampling distributions, estimation, testing hypotheses, correlation analysis, regression, analysis of variance, nonparametric methods.Prerequisites: 01:640:250 and either 01:640:477 or both 01:640:251 and 01:960:381. Credit not given for both this course and 01:960:382.
John E. Freund's Mathematical Statistics with Applications, 7th edition, by Miller & Miller, Prentice-Hall.
Sample: the Spring 2006 syllabus.
Comments on this page should be sent to: ugvc AT math.rutgers.edu
Created September 26, 2006 by UGVC
This material is posted by the faculty of the Mathematics Department at Rutgers New Brunswick for informational purposes. While we try to maintain it, information may not be current or may not apply to individual sections. The authority for content, textbook, syllabus, and grading policy lies with the current instructor.
Information posted prior to the beginning of the semester is frequently tentative, or based on previous semesters. Textbooks should not be purchased until confirmed with the instructor. For generally reliable textbook information—with the exception of sections with an alphabetic code like H1 or T1, and topics courses (197,395,495)—see the textbook lists for the appropriate terms: Fall orWinter, Summer.