Statistics 538: Statistics for Research. II

Fall 2013
Course Syllabus

Course Information

·       Catalog Description: STAT 538 – Statistics for Research II (3) General linear model as applied to multiple regression and analysis of variance. Diagnostic and influence techniques. One-way, factorial, blocking, and nested designs, preplanned versus post-hoc contrasts. Random factors and repeated measures. 
(RE) Prerequisite(s): 537 or 532. 


·        Instructor: Ramón V. León

o   Email:

o   Cell phone: 865 773 2245.

You can text me at just about any time. Normally, I will respond right away or as soon as I can. You can also call me, but I prefer that you text me first to set up a convenient time for us to talk or Skype. (See next.) If I don’t respond within a reasonable time call me on the phone directly.

o   Skype: ramonvleon.

Having a Skype account is required for this course: Once you have it send me a request to be my contact. Make sure to state in your request that you are my student. Otherwise I will not accept your request as I am very popular with the women of Ghana.  Think of my Skype address as my virtual office. With Skype I can share with you my computer screen to show you how to work a problem or demo software and see each other to increase rapport. Whenever my computer is on I am accessible in Skype. With Skype you can also chat with me using its chatting capabilities. 

o   Office Hours: 3:30—4:30 MTWR using Skype (ramonvleon). I will frequently be in my office (SMC 249) at these times. Please text me to check if I will be there on a given day or to request that I meet you in my office on a given day. You can also meet me by appointment.


·        Teaching Assistant:  Blair Monroe

o   Email:

o   Skype: blairwmonroe

o   Office Hours: MW 5:05 – 6:05 p.m. via Skype or in person in the common area in front my office, that is, in front of SMC 249


·        Class Meeting Time and Place: TR 5:05 – 6:20 p.m. via Blackboard Collaborate. This program can be accessed from Blackboard by going to the “Tools” tab and then selecting “Blackboard Collaborate.”

·        Textbook: Regression Analysis by Example (5th Edition) by Samprit Chatterjee and Ali S. Hadi. (You can rent this book for one semester at for $19.25 and I recommend that you do so rather than buy it. If you want to buy the textbook it is available as hardcover and as a Kindle edition.)


·        OneNote Website: This course in supported by a OneNote website that you can access from Blackboard. Just click on the OneNote tab in the upper-left corner of Blackboard. All the class notes and other course material are available there. If you are signed in to the site, as explained below, you will be able to download files by right-clicking on them. (This may not work when using Chrome and if so just use Firefox or Internet Explorer.)


·        Windows Live Account: To be able to download files by right clicking on them from the course’s OneNote website you need to have a Windows Live account and be signed in. You automatically have a Windows Live account if you have an email address with one of these suffixes,, or If you sign in as you would normally do to check your email you will be also signing into your Windows Live account and thus be able to download files by right clicking on them. (Again, this may not work when using Chrome and if so just use Firefox or Internet Explorer.) If you do not have one of these email addresses (or what is the same thing Window Live account) you can register for one of these here. Warning: When one is at the OneNote website one can sign in using one’s UT ID and password, but for some reason signing in that way will not give you the ability to download files by right clicking one them. Bottom line: You need to open a Windows Live account directly from Microsoft.


·        JMP Pro: (version 10.0) statistical software will be used throughout the course. JMP is very easy to learn and I will be demoing it through the course. Both PC and MAC versions can be downloaded for free at the following web address:  After logging into this site, click on “SAS”, then select JMP Pro 10.0 for Windows or JMP Pro 10.0 for Mac. Scroll up or down to see the “Download selected item” button. Detailed instructions for downloading and installing this software can be found at We strongly encourage you to obtain this software for your own computer.  However, JMP software can also be accessed at many of the computing labs on campus, and through the “APPS Server” at There will be a take-home midterm and a take-home final exam. (The course schedule will be provided later.)


·        Exams: There will be a take-home midterm and a take-home final exam. (The course schedule will be provided later.)

·        Project: You are to find a data set for you to analyze. The data set should be suitable for doing a reasonably complex regression analysis. To me this means having at least 150 observations and at least 10 predictor variables. This data set should not come from the textbook; however, chapter 1 of the textbook suggests a number of data sources that might be useful to you in selecting the data set.


You will submit via Blackboard’s Safe Assignment feature a written proposal as a MS Word document describing the data set and the questions that you plan to answer with it. You will not get an A for this proposal unless the data description is clear and complete and you make the source of the data available. I will provide a form to help you to do this. You need to submit with your proposal a JMP file containing the data. For each column of your JMP file you will need to use the Notes feature of JMP found in the Column Properties drop-down menu to fully explain what the variable in the column is. It is not enough to simply provide the necessarily cryptic column name. Without having these detailed column notes you will also not get an A. Use this form to write the proposal.


Upon my approval of this proposal you are to analyze the data and write a report with your analysis and conclusions. The report should be submitted using Blackboard’s Safe Assign feature as a MS Word file. The JMP file with the project data should be attached. This file should have the columns notes required in the proposal and have your most important JMP analyses saved as scripts to the data table. (I will show you how to do this.) The report should be at most eight pages long and should contain a summary of the steps you used in your analysis. You should include only a few selected graphs and tables. The final model that you used in the analysis should be clearly stated at the end of the report with a summary of the reasons why you selected it. Use this form to write the project report.


·       Assignments: All assignments will be made available in the Submission tab of Blackboard where you will also submit them. Assignments should be submitted as MS Word files—not as files from any other word processor or as PDFs. This will facilitate us giving you detailed assignment feedback. For several assignments you will have the opportunity to submit them twice. The first submission will be graded on effort; the second submission will be graded on correctness after we go over what students had difficulty in the first submission in an outside-class-time online help session. (There will also be comments particular to you when we return your first submission.)


·        Book and other Reports: Need to write reports on:


o   Calculated Risks: How To Know When Numbers Deceive You by Gerd Gigerenzer

o   The Black Swan: Second Edition: The Impact of the Highly Improbable by Nassim Nicholas Taleb. 

o   Those who have done reports for one of these books in one my earlier classes should do a report instead on either of these two books:

§  Thinking, Fast and Slow by Daniel Kahnerman

§  Against the Gods: The Remarkable Story of Risk by Peter L. Bernstein

§  Part 1 (Ch. 1 to 8) of Uncontrolled: The Surprising Payoff of Trial-and-Error for Business, Politics, and Society by Jim Manzi


o   Other short reports may be assigned throughout the semester counted as homework. For these, you do not need to use the book report form .


·        Grade: Your course grade will be computed as follows:


Percent of Grade




Midterm exam


Final exam


Book report on Calculated Risk


Book report on The Black Swan


Project proposal


Project report




Surveys (These will be conducted after every class, primarily to find out what needs more explanation.)


Course Score


·        Grades will be computed using the usual 90+ A and so on.

·        Course schedule: To be provided. 

·        Attendance: Preferably, you should listen to the lectures in real time so that you can interact with me and other students. In cases where this is impossible you must listen to the lecture recordings available on Blackboard. Blackboard Collaborate will tell me who watched the lectures either in real-time or via their recording.

·        Disability: If you need course adaptations or accommodations because of a documented disability or if you have emergency information to share, please contact the Office of Disability Services at 191 Hoskins Library at 974-6087. This will ensure that you are properly registered for services.