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Statistical Data Analysis - STAT171
This unit is intended for students with a high level of proficiency in mathematics. The unit provides an introduction to modern statistical principles and practice with special emphasis on data analytical techniques. Methods for the organisation and display of data are considered with special emphasis on data quality. The aim of statistical practice is to make the scientific learning cycle efficient; for this reason it is used in disciplines ranging from actuarial science to zoology. Students are expected to report on their investigations of real life problems. Data entry and computer analysis are undertaken using a statistical package. This does not require any previous computing experience. The unit includes topics such as basic probability and random variables; data summarisation and display; data quality; probability models for data including the normal, Poisson, binomial and sampling distributions and their important properties. Statistical inference techniques are considered such as estimates and their accuracy; tests of means; proportions and other characteristics; regression and correlation; and an introduction to the analysis of count data.
| Credit Points: | 3 |
| When Offered: | D1 - Day; Offered in Session 1, North Ryde |
| Staff Contact(s): | Ms Suzanne Curtis, Professor Graham Wood |
| Prerequisites: |
(HSC Mathematics extension 1 or 3cp from MATH130-MATH136(P)) or admission to BActStud |
| Corequisites: | |
| NCCW(s): | STAT122, STAT170, PSY122 |
| Unit Designation(s): | |
| Unit Type: | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science |
Timetable Information
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