Fall 2018 - STAT 342 D100
Introduction to Statistical Computing and Exploratory Data Analysis - SAS (2)
Class Number: 3035
Delivery Method: In Person
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 may not take STAT 342 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
- Term Test 50%
- Final Exam 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
Department Undergraduate Notes:
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