STATS 400 - Applied Statistical Methods
Section: 001
Term: FA 2007
Subject: Statistics (STATS)
Department: LSA Statistics
Credits:
4
Requirements & Distribution:
BS, QR/1
Credit Exclusions:
No credit granted to those who have completed or are enrolled in ECON 404 or 405, or STATS 265, 350, 405, or 412, or IOE 265, or NRE 438 (or ENVIRON 438).
Advisory Prerequisites:
High School Algebra.
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:

Statistics and the scientific method; observational study versus designed experiment; visualization; introduction to probability; statistical inference; confidence intervals; one-sample tests of hypothesis; two-sample problems; analysis of variance (ANOVA); blocked designs; tests for association and independence (chi-square tests); regression and correlation; and non-parametric tests. Course format includes lectures (3 hours per week) and a laboratory (1.5 hours per week).

STATS 400 - Applied Statistical Methods
Schedule Listing
001 (LEC)
 
17708
Open
1
 
-
MW 10:00AM - 11:30AM
002 (LAB)
P
17709
Closed
0
 
-
F 8:30AM - 10:00AM
003 (LAB)
P
17710
Open
1
 
-
F 10:00AM - 11:30AM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.
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.

Click the button below to view historical syllabi for STATS 400 (UM login required)

View Historical Syllabi
The CourseProfile (ART) system, supported by the U-M Provost’s 3rd Century Initiative through a grant to the Digital Innovation Greenhouse, provides additional information about: course enrollments; academic terms and instructors; student academic profiles (school/college, majors), and previous, concurrent, and subsequent course enrollments.

CourseProfile (ART)