Fall 2019 - STAT 642 G100
Introduction to Statistical Computing and Exploratory Data Analysis - SAS (2)
Class Number: 4609
Delivery Method: In Person
Course Times + Location:
Th 12:30 PM – 2:20 PM
BLU 9660, Burnaby
Exam Times + Location:
Dec 10, 2019
12:00 PM – 3:00 PM
WMC 3520, Burnaby
Prerequisites:STAT 285 or STAT 302 or STAT 305 or BUEC 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
- 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:
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