Statistics
Subject 620-202 (2008)
Note: This is an archived Handbook entry from 2008.Search for this in the current handbookSearch for this in the current handbookSearch for this in the current handbook
| Credit Points: | 12.500 | ||||||||||||
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| Level: | Undergraduate | ||||||||||||
| Dates & Locations: | This subject has the following teaching availabilities in 2008: Semester 2, - Taught on campus.
Timetable can be viewed here. For information about these dates, click here. | ||||||||||||
| Time Commitment: | Contact Hours: 36 lectures (three per week), 11 one-hour tutorials (one per week) and 11 one-hour computer laboratory classes (one per week) Total Time Commitment: 120 hours | ||||||||||||
| Prerequisites: | 620-201 or 620-205. | ||||||||||||
| Corequisites: | None | ||||||||||||
| Recommended Background Knowledge: | None | ||||||||||||
| Non Allowed Subjects: | None | ||||||||||||
| Core Participation Requirements: | It is University policy to take all reasonable steps to minimise the impact of disability upon academic study and reasonable steps will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact upon their active and safe participation in a subject are encouraged to discuss this with the relevant subject coordinator and the Disability Liaison Unit. |
Coordinator
Prof R Huggins| Subject Overview: | This subject introduces the theory necessary to understand modern statistical inference and statistical computation. It demonstrates how many commonly used statistical procedures arise as applications of a common theory. Students will develop the ability to fit probability models to data by both estimating and testing hypotheses about model parameters. This subject demonstrates the importance of the underlying mathematical theory of statistics and the use of modern computer software. Topics include random samples and sample characteristics; desirable properties of estimators; methods for the estimation of parameters of probability distributions, including maximum likelihood estimation; confidence intervals and prediction intervals; theory and application of hypothesis tests; introduction to distribution free methods and goodness of fit tests, correlation and regression; the analysis of one-way and two-way classifications and introductions to experimental design and general linear models. |
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| Assessment: | Up to 30 pages of written assignments due during the semester (20%); a 45-minute computer laboratory test held mid-semester (10%); a 3-hour written examination in the examination period (70%). |
| Prescribed Texts: | None |
| Breadth Options: | This subject is a level 2 or level 3 subject and is not available to new generation degree students as a breadth option in 2008. This subject or an equivalent will be available as breadth in the future. Breadth subjects are currently being developed and these existing subject details can be used as guide to the type of options that might be available. 2009 subjects to be offered as breadth will be finalised before re-enrolment for 2009 starts in early October. |
| Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
| Notes: | This subject is available for science credit to students enrolled in the BSc (pre-2008 degree only), BASc or a combined BSc course. |
| Related Course(s): |
Bachelor of Arts |
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