STAT 1301/2300 – “Statistical Packages”
Fall 2014, Tuesday-Thursday 4:00-5:15PM, CL 230
Instructor: Sungkyu Jung
Ms. Qiyao Wang
- e-mail address:
sungkyu (at) pitt.edu
- Office: CL
- Phone: 412-624-9033
- Office Hours: Thursdays 11:15-12:15, or by
- e-mail address: qiw31 (at) pitt.edu
- TA’s office hours: Mondays 3:00 - 5:00 at Reading Room (CL
- Final Exam: Take-home. Thursday, Dec. 4 (7PM) to Friday, Dec. 5 (Midnight).
- Datasets and programs + Handouts for R lectures
- Midterm II: Thursday, November 20. Open book. Open notes. No electronic devices.
- Instructor's office hour on that day is shifted to 2-3PM.
- Practice Exam 2 (from Dr. Sovak) and solutions
- Also see the rest of problems below.
- Midterm I: Tuesday, September 30. Open book. Open notes. No electronic devices (no SAS!).
- No class on Thursday, October 2.
course is an introductory course on two fundamental statistical
packages, SAS and R. Upon completing this course students will be able
- use Statistical software (SAS and R) to handle data,
- choose correct methods of data analysis,
- perform data analysis;
- interpret results correctly and effectively.
1221 or any course which mostly emphasize regression and includes an
elementary statistical package such as MINITAB. No advanced programing
We will, of course, use the statistical software packages SAS
is available on the PCs at all campus computing labs, such as
Cathedral, Posvar, Forbes Quad and Benedum. If in addition you would
like to have SAS on your PC, Pitt's
Software Download Service offers SAS for free. SAS can only
be installed on Windows or Unix environments (No Mac OS).
is a free, open-source software package/programming language for
statistical computing, and is available on the PCs at all
computing labs, such as Cathedral, Posvar, Forbes Quad and
Benedum. If in addition you would like to have R on your
PC/Mac/Unix, it can be downloaded for free at http://www.r-project.org/
- Peter Dalgaard, Introductory Statistics with R, Second
Edition, Springer, New York, NY (ISBN: 978-0387790534)
Der and Brian S. Everitt, A Handbook of Statistical Analyses using SAS,
Third Edition, Chapman and Hall/CRC, London, UK, (ISBN: 978-1584887843)
On Statstical Procedures:
- A Beginner's Guide to R by Alain F. Zuur, Elena N. Ieno,
Erik Meesters 2009 (Springer), eBook available at link.springer.com
- The official intro, "An Introduction to R", available
online in HTML
- John Verzani, "simpleR", in PDF
R Style Guide offers some rules for naming, spacing, etc.,
which are generally good ideas
This is primarily aimed at those who already know a commercial
statistics package like SAS, SPSS or Stata, but it's very clear and
well-organized, and others may find it useful as well.
- Patrick Burns, The
R Inferno. "If you are using R and you think you're in hell,
this is a map for you."
- Thomas Lumley, "R Fundamentals and Programming Techniques" (large
- Paul Torfs & Claudia Brauer, "A
very short intro to R"
idre R help page
- Avril Coghlan, a
Little Book of R for Multivariate Analysis
is an "integrated development environment" (IDE) for R. Using it is not
required, but strongly recommended, because it gives everyone, on all
computers, a common working environment.
- Many links and material will be made progressively
available at the current page.
- Assignments are submitted and graded electronically through
Course Requirements and Grading:
- Midterm I, 20%
- Tuesday, September 30
- Midterm II, 20%
- Thursday, November 20
- Homeworks 30%
- Saturday, December 13, 10:00 AM - 12:00 AM
Package - Topic - Reference
SAS - SAS Basics - SAS ch1
SAS - Inference for numerical data- ch2
SAS - Inference for categorical data - ch3
SAS - Analysis of Variance - ch4-ch5
SAS - Linear Regression - ch6-ch7
SAS - Analysis of Variance of Repeated measures - ch11
SAS - Advanced topics - little SAS book ch 4-5 (4.13-4.16, 5.1-5.3).
R - Basics - R ch1-2
R - Probability and Distributions - R ch3-
R graphics - R ch4
R - t-tests - R ch5
R - Analysis of Variance - ch7
R- Inference for categorical data - ch8
R - Power calculation - ch9
Students in this course will be expected to comply with the
University of Pittsburgh's Policy on Academic Integrity.
Any student suspected of violating this obligation for any reason
during the semester will be required to participate in the procedural
process, initiated at the instructor level, as outlined in the
University Guidelines on Academic Integrity. This may include, but is
not limited to, the confiscation of the examination of any individual
suspected of violating University Policy. Furthermore, no student may
bring any unauthorized materials to an exam, including dictionaries and
you have a disability for which you are or may be requesting an
accommodation, you are encouraged to contact both your instructor and Disability
Resources and Services
(DRS), 140 William Pitt Union, (412) 648-7890, email@example.com, (412)
228-5347 for P3 ASL users, as early as possible in the term.
will verify your disability and determine reasonable accommodations for
materials may be protected by copyright. United States copyright law,
17 USC section 101, et seq., in addition to University policy and
procedures, prohibit unauthorized duplication or retransmission of
course materials. See Library
of Congress Copyright Office and the University