Fall 2021 - STAT 642 G100
Introduction to Statistical Computing and Exploratory Data Analysis - SAS (2)
Class Number: 5086
Delivery Method: In Person
Course Times + Location:
Th 12:30 PM – 2:20 PM
REMOTE LEARNING, Burnaby
Exam Times + Location:
Dec 17, 2021
3:30 PM – 6:30 PM
REMOTE LEARNING, Burnaby
Prerequisites:STAT 285 or STAT 302 or STAT 305 or ECON 333 or equivalent. Open only to students in departments other than Statistics and Actuarial Science.
Introduces the SAS statistical package. Data management; reading, editing and storing statistical data; data exploration and representation; summarizing data with tables, graphs and other statistical tools; and data simulation. Students with credit for STAT 340 or STAT 342 may not take STAT 642 for further credit.
1. What is SAS?
- Downloading and installing
- Overview of the system
2. Data management in SAS
a. Data input and structures
- DATA step
- Reading specially formatted files
- Date/time/character formats and manipulations
- Derived variables
b. Data access: from database systems using query languages
c. Merging and reshaping data
- sorting/subsetting (set/if/where statements)/ merging/transposing
- processing using DO LOOPS and SAS arrays
- modify variable attributes
3. Data exploration and representation in SAS
- basic procs (print, plot, tabulate, means, univariate, freq)
- by statement and uses in analysis and simulation
- output delivery system to extract information from analyses
4. Data simulation in SAS
Mode of Teaching
- Lecture: Synchronous/Asynchronous
- Tutorial: Synchronous/Asynchronous
- Quizzes and Midterm: Synchronous; Date: TBA
- Final exam: Synchronous; date: TBA
- Remote invigilation (Zoom, or other approved software) will be used.
- Assignments 10%
- Midterm 40%
- *Final Exam (with an option to substitute part of the percentage assigned to the final exam with the completion of a project) 50%
Above grading is subject to change.
SAS and R, Data Management, Statistical Analysis, and Graphics, 2nd ed, by Ken Kleinman and Nicholas J. Horton, Publisher: CRC Press
Hard Copy ISBN: 9781466584495
eBook ISBN: 9781466584501
eBook Rental ISBN: 9781466584501
Graduate Studies Notes:
Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
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TEACHING AT SFU IN FALL 2021
Teaching at SFU in fall 2021 will involve primarily in-person instruction, with approximately 70 to 80 per cent of classes in person/on campus, with safety plans in place. Whether your course will be in-person or through remote methods will be clearly identified in the schedule of classes. You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).
Enrolling in a course acknowledges that you are able to attend in whatever format is required. You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.
Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (email@example.com or 778-782-3112) as early as possible in order to prepare for the fall 2021 term.