Stat 432- Statistical Computer Packages and Their Applications: SAS and R

Winter 2017

Basic Information

  • Instructor: Sai Kumar Popuri
    E-mail: saiku1@umbc.edu
    Office Hours: by appointment
  • Time and location of classes: Stat 432 is a 1-credit course, scheduled Wednesdays 6:00pm-09:10pm, from January 4 to 25, 2017, in room ENG 122/122A. Please see detailed schedule below for exact meeting dates.
  • Course Web Page: http://circ.umbc.edu/outreach/software-packages/stat432winter17/
  • Prerequisites: A grade of C or better in Stat 350, Stat 351, Stat 355, Stat 453 or instructor approval.
  • Grading policy: Your grade in this course will be based on attendance to the class and performance on the programming assignments. There will be total of 4 projects and each will be worth 25 points.
    Letter grades for the course will be decided using the following:
    Score at least 90% 80% 65% 50% otherwise
    Letter grade A B C D F

  • Please note that the syllabus is subject to change by announcement.

Learning Goals

Upon completion of this class one should:

  • be able to use basic data steps,
  • know descriptive statistics procedures,
  • know how to create different types of charts,
  • know how to use SAS for hypothesis testing and regression analysis,
  • be able to use random number generation,
  • be familiar with SAS MACRO features,
  • be able to produce presentable SAS output.

List of the Topics Covered and Assignment Schedule

Class Day Date Main Topics Assignments
1 W 01/04/17 SAS Enterprise Guide tutorial. Base SAS data step, basic SAS procedures, and SAS/STAT procedures. HW1 assigned
2 W 01/11/17 Descriptive Statistics, Creating Charts, and Hypothesis Testing. HW1 due, HW2 assigned
3 W 01/18/17 Regression Analysis, Random Number Generation, introduction to SAS macros. HW2 due, HW3 assigned
4 W 01/25/17 Introduction to R HW3 due, HW4 assigned

UMBC Academic Integrity Policy

By enrolling in this course, each student assumes the responsibilities of an active participant in UMBC’s scholarly community in which everyone’s academic work and behavior are held to the highest standards of honesty. Cheating, fabrication, plagiarism, and helping others to commit these acts are all forms of academic dishonesty, and they are wrong. Academic misconduct could result in disciplinary action that may include, but is not limited to, suspension or dismissal. To read the full Student Academic Conduct Policy, consult the UMBC Student Handbook, the Faculty Handbook, the UMBC Integrity webpage www.umbc.edu/integrity, or the Graduate School website www.umbc.edu/gradschool.

Copyright © 2007-2016 Center for Interdisciplinary Research and Consulting. All Rights Reserved.