Instructor: Sheila O'Leary Weaver sweaver@uvm.edu
Office: 307 Mansfield House
Office Phone: 656-2192
Office Hours: Monday, 9 to 10:30am Tuesday, 1 to 2pm Wednesday, 2 to 3pm and by appointment.
Teaching Assistant: Kiran McCormick kmaccorm@uvm.edu
Office: B6 Mansfield House
Office Phone: 656-3349
Office Hours:
Tuesday 11:30am to 2:15pm and
Wednesday 8 to 9:20am and
by appointment.
Section A -- 92388 -- Tues - Thur -- 8:30 to
9:45am -- 205 Votey (Computer
lab)
Stat201 is "Statistical Analysis
Via Computers." The main goal of this course is to give you some experience
with real data analysis.
In the process, we will review what you've learned in Stat141 (or a similar course) and learn some additional statistical techniques.
We'll discuss some practical issues of using the techniques with real data. To accomplish these goals, we'll learn to use the
SAS statistical software package, as well as an introduction to R*
Course
Materials:
Calculator:
You
will
need a calculator
for this course. We won't do a lot of calculations, but there will be a
bit. Graphing calculators are great to have, but all you really need is something that can add, subtract, multiply, divide and do square
roots.
SAS: You don't need to buy SAS. I'll give you a copy that you can put on your own computer. Here's how we'll get it to you:
If you have Windows XP Professional, or Windows Vista Enterprise, Business or Ultimate editions, you should use SAS version 9.2.
If you have an earlier version of Windows (XP Home, for example), you'll need to use SAS 8.2. Version 8.2 has all you'll need for this class (except for one procedure, and you can do that one task on campus).
If you have a Mac, I'm afraid SAS is not available (unless you have a dual-boot Intel Mac with Windows). Please don't despair: SAS is available on many computers around campus.
Please bring your laptop PC to class on Thursday, September 3. Alan Howard will come to class then, and he'll have several flash drives with both versions of SAS. He'll help you install it. If necessary, he can send you home with a flash drive and instructions, and you can install it on your own computer. Alan's email is abh@uvm.edu, and his office is on the main floor of Bailey-Howe Library, if you need to get in touch with him.
SAS is available on many computers around campus (e.g., all the Dells in rooms 113 and 113Q Waterman, and all the computers in Votey 229, 206, 246).
R: We'll use R later in the semester, but at anytime before that, you can Download R. It's open sourceware (free) and available for PC or Mac.
Read about R in this January 6, 2009 article from the New York Times
Some response from SAS:
Texts: (There is one copy of each on reserve at the Bailey Howe Library Reserve Desk)
Required Applied Statistics and the SAS® Programming Language, Cody and Smith, 5th edition, Pearson/Prentice Hall, 2006.
Recommended A First Course in Statistical Methods, Ott and Longnecker, 1st edition, Thomson/Brooks/Cole, 2004.
Note: If you have the Ott and Longnecker text An Introduction to Statistical Methods and Data Analysis, 5th edition, that's fine, too. An older edition is even ok... I can let you know which chapters correspond to the ones in our text....
In Cody and Smith (CS), we'll read chapters 1,2,3,part of 4,5,6,7,and some of 8 and 9, and use the remaining chapters for reference. You're expected to read the sections we'll cover before class time. Because the exact schedule may change, I'll update it online, and I'll remind you of the current reading in class. Ott and Longnecker (OL) will be used for statistical reference. If you've taken several statistics classes and feel strong in statistics, you don't have to buy this. The less confident you are, the more you need this book as a backup.
Some useful links:
Some useful SAS programs and data sets for learning techniques -- We'll use some of these in class.
Online Documentation for SAS: Version 9.1* Version 8.2
Note that we will use procedures in Base SAS, SAS/Graph, and (later) SAS/GLM
*Documentation link for version 9.1 is listed; so far, I think it's easier to use than the new 9.2 documentation, and there's nothing we need that isn't in version 9.1.....
Applets:
Topics covered in Stat201 (Click here for list)
Grading:
Your course grade will
be
determined by:
Homework
30% of grade (about 8 homework assignments)
Midterms
30% of grade -- two midterms, each worth
15%
Project
20% of grade
Final Exam 20% of
grade
I'll compute an
overall
percentage based on this formula, and use this Grade Distribution.
Homework Assignments: As you know, math classes have that nasty habit of making you feel really behind if you get behind, so it's really important to keep up with homework assignments.
Some other important things:
ACCESS:
Any students needing
accommodations through the ACCESS program should let me know (bring in a letter from ACCESS) as soon as
possible. We can talk about how to proceed....
Cell Phones: Please turn off cell
phones during class. (Exceptions include, but are not limited to,
you or your spouse being 8 or more months pregnant. See me if you
have a good reason to leave your cell phone on.) If your cell
phone rings
during class, you will be responsible for bringing cookies or some such treat to class for all to enjoy.
Attendance: Your regular attendance is expected, of course. Although there is no participation grade per se, your regular attendance and class participation will certainly be considered if your grade is on the borderline at the end of the semester…..
Academic Honesty: Violations of Academic Honesty, such as copying, plagiarizing, and faking data will not be tolerated. The rules are clear, and the consequences stiff (read here about Academic Integrity programs).
Schedule:
This is approximately
the
order of events, though the exact coverage of topics is subject to
change.
Date
Daily
Assignments due for this class, Exams, HW, projects, etc.
|
Tues, Sep 1 |
Intro to Data Analysis: Oswego data Course Intro, Analyze some data... | |
|
Thur, Sep 3 |
Bring your laptop PC to class!!! First Program in SAS Install SAS, Introduction to SAS and Coding Manuals, Read about R in this January 6, 2009 article from the New York Times Read chapter 1 in Cody & Smith (the SAS book) Read chapters 1 to 3 in Ott & Longnecker, on study design and descriptive statistics. |
|
|
Tues, Sep 8 |
HW1 due |
More SAS, and some Stat Review For Tuesday: HW1 Read chapter 2 in Cody & Smith (the SAS book) (you can skim section G) |
|
Thur, Sep 10 |
Formats, Labels, Practice Screening Data Practice entering, formatting, screening data Read chapter 3, sections A - F in Cody & Smith |
|
|
Tues, Sep 15 |
Finish last week's program. |
|
|
Thur, Sep 17 |
HW2 due on Saturday the 19th by 5pm |
More Stat Review, then Probability Independence, Discrete Distributions, Simulations Read chapter 4 in Ott & Longnecker on probability Read section 17C in Cody & Smith |
|
Tues, Sep 22 |
Binomial, Normal Distributions and Simulations An applet for the Binomial Distribution Read chapter 5 in Ott & Longnecker |
|
|
Thur, Sep 24 |
HW3 due on Saturday the 26th by 5pm |
Sampling Distributions, then One-sample Inference |
|
Tues, Sep 29 |
More on One-Sample Inference for Means |
|
|
Thur, Oct 1 |
HW4 due on Saturday the 3rd by 5pm |
Hypothesis testing for Means and Medians |
|
Tues, Oct 6 |
Project proposal due |
Review for Exam #1 then Start: Categorical Data: Proportions Read chapter 3, sections G,H,I,K-O,Q in Cody & Smith Read chapter 10 in Ott and Longnecker |
|
Thur, Oct 8 |
Exam#1 | Exam#1 |
|
Tues, Oct 13 |
Importing data, and More Categorical data: Chi-Squared tests, Odds ratios, McNemar's and Kappa |
|
|
Thur, Oct 15 |
More Categorical data: Chi-Squared tests, Odds ratios, McNemar's |
|
|
Tues, Oct 20 |
McNemar's and Kappa..... Calculating Power and sample size by hand and with SAS 9.1 Reading Dates; Creating files; Read chapter 4, sections A,B,I,J in Cody & Smith |
|
|
Thur, Oct 22 |
HW5 due Saturday the 24th by 5pm |
Randomizing Data with SAS; Two-sample tests Read chapter 6 in Cody & Smith Read chapter 6 and 7.1 to 7.3 (mainly 7.3) in Ott and Longnecker |
|
Tues, Oct 27 |
Early DRAFT due → |
Early DRAFT = Data listing for project and draft of Introduction and Methods One-Way Analysis of Variance: Basics, Read in C&S: chapter 7, sections A through G Read in O&L: chapter 8 (Note: You don't need to focus on calculation details. Also, 8.7 is an excellent case study to see how assumptions are checked and the proper conclusions made. |
| Thur, Oct 29 |
More on ANOVA: Basics and Assumptions |
|
|
Tues, Nov 3 |
More on ANOVA: Multiple Comparisons, Contrasts, Kruskal-Wallis test, Two-way ANOVA, Interactions, More Complex designs | |
| Thur, Nov 5 | HW6 due Saturday, November 7 by 5pm |
Finishing some last ANOVA ideas, then begin Regression..... Read in C&S: chapter 5 Read in O&L: 11.1 to 11.5, 11.7,11.8 |
|
Tues, Nov 10 |
Review for Exam #2 and More on Regression: The model, Checking assumptions, More plots, Correlation and Nonparametric Correlation, |
|
|
Thur, Nov 12 |
Exam#2 | Exam#2 |
|
Tues, Nov 17 |
DRAFT of Final Project due |
DRAFT = Full copy of project, or as much as possible More on simple linear regression: Estimation and inference for parameters, making predictions, assessing the fit of the line then Multiple Regression Read in C&S: chapter 9A through E Read in O&L: 12.1 |
|
Thur, Nov 19 |
Start R |
|
| Tues, Nov 24 | HW7 due Wednesday noon, November 25 |
R Skim first two chapters of R Primer. Do chapters 3 and 4 in tutorial.... |
| Thur, Nov 26 | No Class -- Thanksgiving Break | |
|
Tues, Dec 1 |
R |
|
| Thur, Dec 3 | Project due |
Final Project due R |
| Tues, Dec 8 | HW8 due |
Review for Final Exam |
|
Mon, Dec 14 |
Final Exam |
Final Exam, in classroom, 8 to 11am |