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Introductory Statistics - STAT170
This unit provides a broad introduction to statistical concepts and data analysis techniques. The unit is 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. The aim of statistical practice is to make the scientific research process efficient; for this reason statistics is used in disciplines ranging from accountancy to zoology. Whilst this unit may be taken as a terminating unit, 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 STAT270 Applied Statistics and STAT273 Introduction to Probability in their program. Topics covered in this unit 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. Statistical computer packages are used for handling and analysing data along with word processing for reporting the results. However, no prior computing knowledge is assumed.
| Credit Points: | 3 |
| When Offered: | D1 - Day; Offered in Session 1, North Ryde D2 - Day; Offered in Session 2, North Ryde E1 - Evening; Offered in Session 1, North Ryde E2 - Evening; Offered in Session 2, North Ryde X1 - External study; Offered in Session 1 (On-campus dates: 19 May) Session 3 Internal - Day; Offered in December 2012 - February 2013, North Ryde |
| Staff Contact(s): | Dr Brian Jersky, Ms Anne Karpin |
| Prerequisites: |
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| Corequisites: | |
| NCCW(s): | STAT122, STAT171, PSY122 |
| Unit Designation(s): | |
| Unit Type: | Planet unit |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science |
Timetable Information
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