TEXT: Applied Linear Statistical Models
by Kutner et al. (5th ed.), ISBN: 0-07-238688-6.
REQUIREMENTS:
HOMEWORK: Homework will be assigned in class and due each
Monday before or after the lecture (except for the first HW, which
is due two weeks after the first Monday). The graded homework will be
given back during the discussion sessions. The lowest two homework
grades will be dropped in calculating the overall homework score.
No late homework.
PROJECT: There will be two projects involving computer data
analysis. Each
project is due in two weeks. Although we recommend that you use R
to complete the projects, use of other softwares is also allowed.
The TA is responsible in providing instructions for R.
MIDTERM: There will be one in-class midterm exams. Exam dates:
Wed., Feb. 14, 2018 (during the lecture)..
One page of notes (both sides, regular-size paper) is allowed for
the midterm.
FINAL: There will be an in-class final exam. Exam date:
Determined by the University. Two pages of notes (both sides, regular-size
paper) is allowed for
the final.
GRADES:
FINAL 40%, MIDTERM 20%, PROJECT 20% (10% each),
HOMEWORK 20%.
(Grade Disputes will not be considered until the end of the
quarter. Write a cover note including the total number of points in
questions and your rationale. If the total points in question will
change your letter grade (including +/-), your rationale will be
considered.)