STAT 481 - 18089, 19396

Spring 2016

 

Applied Statistical Methods II

 

Instructor: Dr. Jing Wang
Office: SEO 523
Phone: (312) 996-4835
E-mail: jiwang12@uic.edu

Lecture Hours: MWF 1:00 - 1:50 pm, LH312
Office Hours: 2:00-4:30 pm, Mondays

Teaching Assistant: Xianwei Bu, xbu3@uic.edu

TA Office Hours: 12-1 PM Mon, 1-3PM Wed., SEO 430

 

Final Exam: 1:00-3:00 PM, Monday, May 2.

 

Office Hours in Final Weeks:

2:00-3:00 PM, April 25, 27, 29

10:30-11:30 AM, May 2

Syllabus

Homework

Final Bonus Project

Data in Textbook

Lecture Notes

1.      Sampling Distribution and Confidence Interval

2.      Testing Hypothesis - I

3.      Testing Hypothesis - II

4.      Chisquare Test

5.      Simple Linear Regression (Notes-1, Notes-2)

6.      One-Way ANOVA (fixed effect) (Notes-1) (Quiz 1) (Notes-2)

7.      One-Way ANOVA (random effect) (Quiz 2)

8.      Multiple Linear Regression

9.      Randomized Complete Block Design (Notes)

10.   Two-way ANOVA with two fixed factors

11.   2-way ANOVA with random effects (Notes, SAS Example, LME model)

12.   Nested Design

13.   2K Factorial Design

 

Exam Practices and Solutions

1.     Midterm I - practice, Midterm I - Solution

2.     Midterm II - practice, Midterm II - Solution

3.     Final Practice Problems

R Code Example

    1. Example 4-6-3
    2. Read Data and Simulation Example
    3. T test, F test, and Normality Check (sole.txt)
    4. Chisquare Test
    5. Boxcox Transformation for Linear Regression
    6. Simple Linear Regression
    7. One-Way ANOVA
    8. Multiple Linear Regression
    9. RCBD Analysis
    10. 2-way ANOVA

 

SAS Code Example

    1. SAS - brief introduction
    2. Read data and basic procs (FuelAdditive.xls)
    3. Simple Linear Regression
    4. One-Way ANOVA (fixed)

e.     One-Way ANOVA (random)

f.      Multiple Regression (AirQuality)

g.     MLR- Model Selection

h.     Proc glm (RCBD) (SAS Output)

i.       PROC GLM for 2-way ANOVA

j.       Proc Nested

 

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