STA 6167 Section 1F80

Statistical Methods in research ii

Spring 2017

Tu 2-3, th 3 @ Griffin/Floyd 100



Instructor: Dr. Larry Winner


Office: 228 Griffin/Floyd


Phone: 273-2995


E-Mail: (not to be used for technical explanations)


Office Hours: Tu 11:00-12:00, W 12:30-1:30


TA: Minji Lee Office: FLO 115B   e-mail:    

Office Hours: W 10-11, Th 1:50-3:50


Text: Applied Statistical Methods and Linear Regression Notes (On class website) and

Ott and Longnecker, 2015. An Introduction to Statistical Methods & Data Analysis, 7th Ed., Cengage.



General Topics (Tentative)


        Multiple Linear Regression (Approx. 11 Lectures)

        Completely Randomized Design (Approx. 1 Lecture)

        Randomized Block and Latin Square Designs (Approx. 2-3 Lectures)

        Factorial Designs (Fixed, Mixed, Random Effects) (Approx. 3-4 Lectures)

        Nested Designs (1 Lecture)

        Split-Plot Designs (2 Lectures)

        Repeated Measures Designs (1 Lecture)

        Analysis of Covariance (1 Lecture)

        Discrete Probability Distributions / Intro to Generalized Linear Models (2 Lectures)

        Logistic Regression (2.5 Lectures)

        Poisson Regression (2.5 Lectures)

       Nonlinear Regression (1 Lecture)

       Introduction to Survival Analysis (Time Permitting)




This course will consist of a series of data analysis projects and 3 exams. The projects will count 25% of final grade, and each exam will count 25%.


       Exam 1: Tuesday, Feb. 7

       Exam 2: Tuesday, March 21

       Exam 3: Tuesday, April 18



Projects and datasets will be posted on class website.


SAS and R code will be provided for all methods covered in the course on class website.


R can be downloaded for free from the website:







Course Grade Cut-offs:



Attendance/Exam/Assignment Policies: While attendance is not taken, students are expected to attend lectures and participate in class. Make-up exams will only be considered with documented medical event or conference attendance (graduate students). Early exams will be given under no circumstances. Assignments are to be handed in during class on the date the assignment is due in paper format. Electronic submission of assignments will not be accepted. Turn off cell phones during classes.


Academic Accommodations: If you have a documented disability and wish to discuss academic accommodations with me, please contact me as soon as possible.







University Grading Points:




Online Course Evaluations: The University has an online course evaluation system. Late in each semester (after final withdrawal date), students can go to the GATORRATER portal and evaluate courses. The website is located at:



University Policies:

Academic Dishonesty: All members of the University Community share the responsibility to challenge and make known acts of apparent academic dishonesty. Acts of academic dishonesty will not be tolerated and will be referred to the Student Honor Council.


Campus Resources:


Counseling and Wellness Center:


Academic Resources:


Disability Resource Center:


Student Health Care Center: