Statistics 511

 

Syllabus

 

Topic	Section in NWNK 4th	Section in NWNK 5th
Normality, t-test and other basics	A.5 - A.6	A.5-A.6
Estimating the Mean	A.6	A.6
What is Regression?	1.1, 1.2, 3.10	1.1, 1.2, 3.10
Least squares Regression	1.3  -  1.8, 2.7	1.3  -  1.8, 2.7
Inference for Regression	2.1  -  2.6, 2.8  - 2.10	2.1  -  2.6, 2.8  - 2.10
Regression Diagnostics	3.1  -  3.3, 3.9	3.1  -  3.3, 3.9
Regression in Matrix Notation	5.9  -  5.13	5.9  -  5.13
Regression Through the Origin	4.4	4.4
Regression and Correlation	15.1	2.11
Multiple Regression	6, 7.1  -  7.4	6, 7.1  -  7.4
Regression Diagnostics	9	10
Polynomial Regression	7.7, 7.8	8.1, 8.2
Variable Selection	8	9
Using Categorical Predictors in Regression	11	8.3-8.7
Advanced Topics (time permitting)

 

 

Academic Integrity

 

Academic integrity is the pursuit of scholarly activity free from fraud and deception and is an educational objective of this institution. All University policies regarding academic integrity apply to this course. Academic dishonesty includes, but is not limited to, cheating, plagiarizing, fabricating of information or citations, facilitating acts of academic dishonesty by others, having unauthorized possession of examinations, submitting work of another person or work previously used without informing the instructor, or tampering with the academic work of other students.

 

Grade Breakdown

 

homework                                 20%

project                                      15%

mid-term 1                                 20%

mid-term 2                                 20%

final exam                                  25%