Applied Statistics 1

STA 4234, Spring 2004

Instructor: Dr. Lianfen Qian, S&E 244, (561) 297-2486 Email: Lqian@fau.edu

Time and Place: 4:00-4:50 PM; MW, PS 227.

Prerequisites: STA 4442; Co-requisite: STAL 4202.

Office hours: MW: 2:00-3:00PM or by appointment

Textbook: Introduction to Linear Regression Analysis by Douglas C. Montgomery, Elizabeth A. Peck and G. Geoffrey Vining. Third Edition, John Wiley, 2001.

Course Description: This is a first course in regression. Regression analysis explores relationships among variables by modeling a response. Simple linear regression, residual analysis and model validation, multiple linear regression, model selection, multicollinearity, nonlinear curve fitting, categorical predictors, introduction to analysis of variance and covariance.

Tests & Grades: Two midterm exams: 40%; Homework assignments: 20%; Two term projects: 40%.
The one credit Lab class STAL 4202 (Applied Statistics 1 Lab with call#: 13916) is required for the course to finish the computer projects.

Attendance: The instructor reserves the right to make any changes she considers academically advisable. Note that it is your responsibility to attend the class and keep track of the proceedings.

Calendar: Some important dates:

Class starts: Wednesday, January 7
Last day to drop/add without consequences: Wednesday, January 14.
M.L. King’s birthday (no class): Monday, January 19
First midterm exam: Wednesday, Feb. 11
Last day to drop without getting an ``F'': Friday, Feb. 27
Spring break (no classes): March 8-13
Second midterm exam: Wednesday, March 24
Last day of class: Thursday, April 22

For more details, visit Academic Calender

Visit Data and Story library at Statlib for possible data sets.