Time: Monday, Wednesday, Friday at 10:00 a.m. - 10:50 a.m.
Location: Taft Hall 216
Instructor: Jie Yang
Office: SEO 539
Phone: (312) 413-3748
E-Mail: jyang06 AT math DOT uic DOT edu
Office Hours: Monday, Wednesday, Friday at 12:00 p.m. - 1:00 p.m. (or by appointment)
Textbook: Johannes Ledolter and Robert V. Hogg,
Applied Statistics for Engineers and Physical Scientists,
Prentice Hall, 3rd edition, 2009.
Reference book: Ronald P. Cody and Jeffrey K. Smith,
Applied Statistics and the SAS Programming Language,
Prentice Hall, 5th edition, 2006.
Content: Tests of hypotheses, simple linear regression, multiple linear regression, experiments with one factor, experiments of two or more factors
Prerequisite: Grade of C or better in STAT 381
Homework:
Turn in on Wednesdays before class;
half of the grade counts for completeness;
half of the grade counts for correctness of one selected problem.
Midterms: February 19th (Friday), and March 19th (Friday), 10:00 a.m. - 11:00 a.m.
Final Exam: 10:30 a.m. - 12:30 p.m. Friday, May 7th
Grading: Homework 20%, midterms 20% each, final exam 40%
Grading Scale: 95% A , 85% B , 75% C , 65% D
Format of All Exams: Each exam is based on the homework and the examples discussed in class. The last class session before each exam is a review session. Please prepare any questions that you may have.
No makeup exam will be given without a valid excuse.
| WEEK | SECTIONS | BRIEF DESCRIPTION |
| 01/11 - 01/15 | 4.5; 4.5; 4.6 | Tests of characteristics of a single distribution; Tests of characteristics of two distributions |
| 01/18 - 01/22 | Holiday; 4.6; 4.7 | Tests of characteristics of two distributions; Certain chi-square tests |
| 01/25 - 01/29 | 4.7; 8.1; 8.1 | Certain chi-square tests; Simple linear regression model |
| 02/01 - 02/05 | 8.1; 8.2; 8.2 | Simple linear regression model; Inferences in the regression model |
| 02/08 - 02/12 | 8.3; 8.3; 8.4 | Adequacy of the fitted model; Multiple linear regression |
| 02/15 - 02/19 | 8.4; Review; Midterm 1 | Multiple linear regression |
| 02/22 - 02/26 | 8.4; 8.5; 8.5 | Multiple linear regression; More on multiple regression |
| 03/01 - 03/05 | 6.1; 6.1; 6.2 | Completely randomized one-factor experiments; Other inferences in one-factor experiments |
| 03/08 - 03/12 | 6.2; 6.2; 6.3 | Other inferences in one-factor experiments; Randomized complete block designs |
| 03/15 - 03/19 | Review; Midterm 2; 6.3 | Randomized complete block designs |
| 03/29 - 04/02 | 6.3; 6.4; 6.4 | Randomized complete block designs; Designs with two blocking variables: Latin squares |
| 04/05 - 04/09 | 7.1; 7.1; 7.1 | Two-factor factorial designs |
| 04/12 - 04/16 | 7.2; 7.2; 7.3 | Nested factors and hierarchical designs; General factorial and 2^k factorial experiments |
| 04/19 - 04/23 | 7.3; 7.4; 7.4 | General factorial and 2^k factorial experiments; 2^{k-p} fractional factorial experiments |
| 04/26 - 04/30 | 7.4; Review; Review | 2^{k-p} fractional factorial experiments |
| 05/03 - 05/07 | Final exam | Final exam |