STAT 105:  Statistics for Engineers
Syllabus (Spring 2011)
Instructor: Hongquan Xu  (hqxu@stat.ucla.edu)
Office: 8955 Math Sciences Bldg,  Phone: (310)206-0035  
Course Homepage: https://ccle.ucla.edu/course/view/11S-STATS105-1
Prerequiste: EE 131A or Mathematics 170A or Statistics 100A.
Time/Place:
 Office Hours: MW 1:30-2:30pm at MS 8955
TA1:  Tiffany Himmel <tiffany@stat.ucla.edu>  office hours (at MS 8105G):
TA2:   Sean Wang <seanwang@stat.ucla.edu>    office hours (at MS 8105C):

Textbook (required):  Applied Statistics and Probability for Engineers (4th ed),  by D. C. Montgomery and G. C. Runger.  (Both 3rd or 5th ed are okay;  Lecture Notes available at UCLA bookstore.)

Grading Policy
Course Outline
Chapter 1. The Role of Statistics in Engineering.
Chapter 6. Random Sampling and Data Description.
Chapter 7. Point Estimation of Parameters.
Chapter 8. Statistical Intervals for a Single Sample.
Chapter 9. Tests of Hypotheses for a Single Sample.
Chapter 10. Statistical Inference for Two Samples.
Chapter 11. Simple Linear Regression and Correlation.
Chapter 12. Mutliple Linear Regression.
Chapter 13. Design and Analysis of Single-Factor Experiments: The Analysis of Variance.
Chapter 14. Design of Experiments with Several Factors.
Chapter 15. Nonparametric Statistics.
Software: We will use R, free open-source statistical software that is quite powerful and flexible.  You are strongly encouraged to download onto your own computer. TA will teach you how to use R. You can download R at http://cran.stat.ucla.edu

Class attendance is required and important for you to understand the materials, especially the topics not from the textbook.  The exams will include everything taught in lectures and discussions.