STAT 495 - Data Analysis with SAS

Units: 3
Programming and applying SAS. Data preparation and transformation, macros, descriptive statistics. Topics from diagnostics, t-procedures, ANOVA, nonparametrics, cross-tabulation, chi-squared, correlation, regression. Report writing.

Prerequisites: STAT 330.
Possible Instructional Methods: On-ground.
Grading: A-F or CR/NC (student choice).
Course Typically Offered: Fall ONLY

Student Learning Outcomes - Upon successful completion of this course students will be able to:

apply basic computational skills in descriptive statistics and data visualization, hypothesis testing, confidence intervals, modeling and error analysis, including the use of large data sets;
analyze data using SAS, both locally and in the cloud, and to interpret results covering descriptive statistics and data visualization, hypothesis testing, confidence intervals, modeling and error analysis, including the use of large data sets.