2009 Course Handbook
STAT170: Introductory Statistics
This unit provides a broad introduction to statistical concepts and data analysis techniques. The unit is basically concerned with the development of an understanding of statistical practice and is illustrated by a study of those techniques most commonly used in the sciences, social sciences and humanities.
Whilst this unit may be taken as a terminating unit in statistics, it provides only basic statistical knowledge. Students intending to complete a major in statistics, or those wishing to acquaint themselves with the practical application of statistical techniques, are advised to include the units STAT270 and STAT273 in their program.
Topics covered in STAT170 include data collection methods, data quality, data summarisation and statistical models like the normal distribution followed by sampling distributions and statistical inferences about means, proportions and quantiles. Also studied are methods of analysis relating to comparisons, counted data and relationships, including regression and correlation.
Use is made of statistical computer packages for handling and analysing data along with word processing for reporting the results. However, no prior computing knowledge is assumed.
| Credit Points: | 3 |
| Contact Hours: | 4 |
| When Offered: |
D1 - Day; Offered in the first half-year
D2 - Day; Offered in the second half-year D3 - Day; Offered over the full year E1 - Evening; Offered in the first half-year E2 - Evening; Offered in the second half-year E3 - Evening; Offered over the full year Summer Session - Offered in January-February as part of Summer School program. X1 - External study; Offered in the first half-year (On Campus session: 16 May (V)) |
| Staff Contact: | Ms Jenny Middeldorp, Ms Anne Karpin |
| Prerequisites: | |
| Corequisites: | |
| NCCWs: | STAT171 |
| Unit Designations: |
Technology
Medical Sciences |
| Assessed As: | Graded |
| Offered By: |
Department of Statistics |
Timetable Information
For unit timetable information please visit the Timetables@Macquarie Website.