STATS 500 - Applied Statistics I
Section: 001
Term: WN 2008
Subject: Statistics (STATS)
Department: LSA Statistics
Page Index

#### Details

Credits:
3
Requirements & Distribution:
BS
Waitlist Capacity:
25
Consent:
With permission of department.
MATH 417, and STATS 350 or 426.
Other Course Info:
F.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

#### Description

Course outline:

Course Outline: Linear Regression Models: deØnition, Øtting, Gauss-Markov theorem, inference, interpretation of results, meaning of regression coe±cients, identiØablity, diagnostics, in°uential observations, multicollinearity, lack of Øt, robust procedures, transformations, regression splines, variable selection, ridge regression, principal components regression, ANOVA and analysis of covariance. The objective is to learn what methods are available and more importantly, when they should be applied.

Computing: The software we will be using for this course is R. R is free with Windows and Unix. Check out the course webpage for details.

Textbook:
Julian Faraway (2004) Linear Models with R. Chapman & Hall.

Prerequisites:
Knowledge of matrix algebra. Knowledge of basic probability and mathematical statistics.

Assessment:
There will be weekly homeworks, one midterm, and the final. The weights are 30% for the homework, 30% for the midterm and 40% for the final. No late homework will be accepted. No make-up exam.

#### Schedule

STATS 500 - Applied Statistics I
Schedule Listing
001 (LEC)
P
23325
Open
11
 9 STATS Maj
-
 MW 2:30PM - 4:00PM 1512 CCL

#### Textbooks/Other Materials

NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.

#### Syllabi

Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

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#### CourseProfile (ART)

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