User not logged in - login - register
Home Calendar Books School Tool Photo Gallery Message Boards Users Statistics Advertise Site Info
 School Tool » »
Name of course : Introduction to Mathematical Statistics II
Description : Second of a two-semester sequence of mathematical statistics, primarily for undergraduate majors and graduate minors in Statistics. Random samples, point and interval estimators and their properties, methods of moments, maximum likelihood, tests ofhypotheses, elements of nonparametric statistics and elements of general linear model theory.
Prerequisites : ST 421
Corequisites :
Comments :
Average user rating : 3
Average GPA of classes in course : 2.98
Std. dev. of classes in course : 0.2
Percentile within all courses : 37%
Percentile within department courses : 14%
 Spring 2010
Class Instructor Days Time Books Users
ST 422 section 001 Wang MW 130PM-245PM 0 0
 Spring 2006
Class Instructor GPA Std. Dev. Percentile Users
ST 422 section 001 Gerig % 0
 Spring 2005
Class Instructor GPA Std. Dev. Percentile Users
ST 422 section 001 Gerig % 4
 Spring 2004
Class Instructor GPA Std. Dev. Percentile Users
ST 422 section 001 Gerig % 1
 Spring 2003
Class Instructor GPA Std. Dev. Percentile Users
ST 422 section 001 Gerig 3.20 1.06 100% 1
 Spring 2002
Class Instructor GPA Std. Dev. Percentile Users
ST 422 section 001 Ghosh 2.76 1.48 25% 0
 Spring 2001
Class Instructor GPA Std. Dev. Percentile Users
ST 422 section 001 Ghosh 3.08 1.21 75% 0
 Spring 2000
Class Instructor GPA Std. Dev. Percentile Users
ST 422 section 001 Ghosh 2.87 1.34 50% 1
 User Ratings
Perlith
All American
7620 Posts
user info
course :ST 422
course rating :3 - Good
course comments :Formal background behind statistics. All of that stuff magically assumed was true in your introductory course, you prove WHY it is true now. Some of the simpler stuff you can derive, but mostly, you prove its true
class :Spring 2005 section 001
grade received :N/A
class rating :3 - Good
class comments :Homeworks averaged 5-10 hours a week. They were graded on a lenient scale, more on effort and methodology attempts, less on "correct" answers. I found 422 to be the "easier"/less-theory oriented of the two. Maximum likelihood was nice to learn.
instructor :Gerig
instructor rating :3 - Good
instructor comments :I appreciated the fact the lectures notes were online. It allowed you to spend more time in class undertanding material rather than writing it down. Gerig has a broad range of experience (former stat graduate school director, former department head), definitely knows how to teach. Regardless, its math, you can get bored or distracted easily when explaining a long and complicated proof :P.

© 2020 by The Wolf Web - All Rights Reserved.
The material located at this site is not endorsed, sponsored or provided by or on behalf of North Carolina State University.
Powered by CrazyWeb v2.37 - our disclaimer.