STATS 1504 - Statistical Practice I (Life Sciences) (Pre-Vet)
General Course Information
Course Details | Detailed Course Information | Course Staff | Course Timetable | Related Links
Course Details
| Course Code | STATS 1504 |
| Course | Statistical Practice I (Life Sciences) (Pre Vet) |
| Coordinating Unit | School of Mathematical Sciences, Faculty of Engineering, Computer & Mathematical Sciences |
| Term | Semester 1/2 2013 |
| Mode | Internal |
| Level | Undergraduate |
| Location/s | North Terrace |
| Units | 3 |
| Contact | Up to 5 hours per week |
| Prerequisites | MATHS 1011 or MATHS 1013 |
| Corequisites | Not applicable |
| Incompatible | STATS 1000, STATS 1004, STATS 1504, ECON 1008 |
| Assumed Knowledge | Not applicable |
| Restrictions | Not applicable |
| Quota | Not applicable |
| Course Description | This is a first course in Statistics for mathematically inclined students. It will address the key principles underlying commonly used statistical methods such as confidence intervals, hypothesis tests, inference for means and proportions, and linear regression. It will develop a deeper mathematical understanding of these ideas, many of which will be familiar from studies in secondary school. The application of basic and more advanced statistical methods will be illustrated on a range of problems from areas such as medicine, science, technology, government, commerce and manufacturing. The use of the statistical package SPSS will be developed through a sequence of computer practicals.Topics covered will include: basic probability and random variables, fundamental distributions, inference for means and proportions, comparison of independent and paired samples, simple linear regression, diagnostics and model checking, multiple linear regression, simple factorial models, models with factors and continuous predictors |
Detailed Course Information
Includes Learning Objectives, Learning Resources, Teaching & Learning
coming soonCourse Enrolment Dates and Fees
The enrolment dates, fees and full timetable of all activities for this course can be accessed from the Course Planner.
Course Staff
Mr Jonathon Tuke
School of Mathematical Sciences
Faculty of Engineering, Computer & Mathematical Sciences
Room 656
Ingkarni Wardli
North Terrace
Telephone: +61 8 8313 3028
Email
Administrative Enquiries: School of Mathematical Sciences Office, Level 6 Ingkarni Wardli
