COURSE OUTLINE:   Stat 201, Fall 2009


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: 

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.....

 

All about IQ Scores....

 

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

Look at this dice-tossing applet

And this sampling distribution Applet

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,

Guessing correlations 

Heteroscedasticity

How do outliers affect the correlation?

Leverage

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

Download R here, The R PrimerThe R Card

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