STATS 301 Statistical Programming and Modeling using SAS

Below description edited in year: 2019

Points: 15

Prereqs: 15 points from STATS 201, 207, 208, or BIOSCI 209.

Credit: Final exam 60%; coursework 40% (1 test worth 10% and assignments worth 30%), must obtain at least 50% in the coursework and 50% in the final exam to pass

Textbooks: Recommended: The Little SAS Book: a primer (SAS 2003, 3rd edition). This book can be purchased from the Student Resource Centre when in stock.

Website: STATS 301 website

One of the key purposes of STATS 301 is to introduce you to the SAS software for the purposes of statistical inference, programming and modelling. SAS is a major commercial statistics package that is used at about 40,000 sites worldwide, and by four million users. We will use SAS as a programming language, and some more advanced features of SAS programming. STATS 301 is designed to be a practical course in the use of SAS in industry, such as, Market Research, Finance and Medicine. To date all the data you have seen has usually been given to you in a form ready for exploration and modelling. This is rarely the case in most day-to-day projects in industry. Here, the emphasis will be on getting data from a “raw and messy” form into a state ready for the data analysis techniques you have learnt, or will learn, at undergraduate level.

Topics studied include: The general SAS programming environment, reading data into SAS, data management, reporting, data analysis, ...

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SAS Software for work at home use:

SAS WAH can be downloaded within the university at no cost.

Disclaimer:
Although every reasonable effort is made to ensure accuracy, this information for the course year (2025) is provided as a general guide only for students and is subject to alteration. All students enrolling at the University of Auckland must consult its official document, the University of Auckland Calendar, to ensure that they are aware of and comply with all regulations, requirements and policies.