Swinburne University of Technology - Melbourne Australia
Future Students - Courses
Duration
Contact Hours
Campus
Prerequisite
Corequisite
1 Semester / teaching period
3 Hours per Week
Hawthorn, Online
HMS770 Statistical Practice 1
Nil
Credit Points: 12.5 Credit Points
A unit of study in the Graduate Diploma of Science (Applied Statistics) and Master of Science (Applied Statistics).
This unit of study aims to expand on the work done in earlier units of study in the program by introducing students to other aspects of statistical computing. In particular students will be introduced to another statistical software package, namely SAS, as a powerful tool for organizing and analyzing data. In particular, students will use this package to further their knowledge in terms of data management and data presentation. Learning Objectives: At the completion of this unit students will be able to: i. Input data from EXCEL and questionnaire into SAS data sets ii. Sort and print data using Base SAS iii. Document SAS programs and output iv. Summarise and plot data using Base SAS v. Tabulate data using Base SAS vi. Programming of DO LOOPS and ARRAYS vii. Work with Dates in SAS viii. Data management with Base SAS ix. Implement statistical procedures in SAS x. Use SAS Enterprise Guide
These classes are held in a computer laboratory and practical exercises are integrated with class teaching throughout the sessions. The unit of study will also be taught using a distance approach, with material available to students in hard copy format and use of the Blackboard system. Learning exercises and activities are included in each of the topics. SAS software required in Graduate Diploma of Science units will be supplied by DVD. Please note: SAS will only run on a Windows platform.
Online Quizzes (10%), Assignments(40%), Exam (50%).
This subject will contribute to helping students achieve some of the attributes expected of Swinburne graduates.This subject teaches the programming and data management skills required of a statistician. It does this using a high power package providing students with skills that are much sought after in the private and the public sector. Through completing the unit of study, it is expected that students: 1. Are capable in their chosen professional areas Students will attain programming and data management skills that will support their professional careers. This will include abilities in data processing and statistical analysis. It will also allow them access to the large organisations that rely on SAS and other SAS products such as SAS Enterprise Miner. 2. Are adaptable and manage change Programming and data management skills are essential for students working in this area. Such skills coupled with the statistical procedures available in SAS enable students to investigate any data from multiple sources using any appropriate method. 3. Are aware of environments Large data sets are a feature of the work situations of these graduates. This unit exposes students to real examples of such data sets. The development of statistical and research skills in this unit will make students more aware of the power and the importance of data as a resource.
1. Are capable in their chosen professional areas
Students will attain programming and data management skills that will support their professional careers. This will include abilities in data processing and statistical analysis. It will also allow them access to the large organisations that rely on SAS and other SAS products such as SAS Enterprise Miner.
2. Are adaptable and manage change
Programming and data management skills are essential for students working in this area. Such skills coupled with the statistical procedures available in SAS enable students to investigate any data from multiple sources using any appropriate method.
3. Are aware of environments
Large data sets are a feature of the work situations of these graduates. This unit exposes students to real examples of such data sets. The development of statistical and research skills in this unit will make students more aware of the power and the importance of data as a resource.
Extends the work done in Basic Statistical Computing to cover some further features of statistical and data management packages used in business, government institutions and research. Emphasis will be on the more advanced file handling, data presentation and statistical procedures of the SAS package.
Reference Material Blackboard handouts, SAS manuals (hardcopy and online) and Online SAS Help.
Delwiche, L.D. The Little SAS Book: A primer. Fourth Edition: A Programming Approach for SAS. Cary, N.C.: SAS Institute. (Available from the Swinburne Bookshop)
