Mar 28, 2024  
2020-2021 Graduate Catalogue 
    
2020-2021 Graduate Catalogue Archived Catalogue

DSC 511 - Fundamentals of Statistics for Data


Course Description: A review of statistical methods including: levels of measurement; measures of center, variability and association; confidence intervals and hypothesis tests (parametric and non-parametric); and associated visualizations. All concepts coded in SAS and based on data from various sources; therefore, in addition to the statistical methods, programming concepts include reading and writing data from and to raw text files, spreadsheets and relational databases. Six lecture hours and two laboratory hours per week for each week of the half-semester session.

Credit Hours: 3

Corequisite Courses: DSC 501
Prerequisite Courses: None
Additional Restrictions/ Requirements: None
Course Repeatability Course may not be repeated


ADDITIONAL COURSE INFORMATION

Equivalent Courses: None
Undergraduate Crosslisting: None
Additional Course Fees: None
Course Attribute: None








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