Analysis of Scientific Data (STAT1201)
Information valid for Semester 1, 2025
Course level
Undergraduate
Faculty
Schools
Biological Sciences School, History,Philos,Religion&Class, Info Tech & Elec Engineering, Mathematics & Physics School, History,Philos,Religion&Class, Agriculture Food Sciences Schl
Units
2
Duration
One Semester
Attendance mode
In Person
Class hours
3L2W (Summer 6L2W)
Incompatible
ECON1310, ENVM2000, STAT1301, STAT2201 or STAT2701
Prerequisite
Year 12 Maths B or MATH1040
Restricted
Not available to BE, BE/Biotech, BE/BSc students.
Assessment methods
Assignments & examinations
Course enquiries
Associate Professor Michael Bulmer (Summer Semester, Regular, St Lucia, In person)
Associate Professor Michael Bulmer (Semester 2, Regular, St Lucia, In person)
Doctor Ross McVinish (Semester 1, Regular, St Lucia, In person)
Doctor Vivi Arief (Semester 2, Regular, Gatton, In person)
Semester 1- Dr Ross McVinish
Semester 2 - Dr Michael Bulmer (St Lucia) and Dr Vivi Arief (Gatton)
Summer Semester - Dr Michael Bulmer
Study Abroad
This course is pre-approved for Study Abroad and Exchange students.
Current course offerings
Course offerings | Location | Mode | Course Profile |
Summer Semester, 2024 (25/11/2024 - 08/02/2025) | St Lucia | In Person | Course Profile |
Summer Semester, 2024 (25/11/2024 - 08/02/2025) | External | External | Course Profile |
Semester 1, 2025 (24/02/2025 - 21/06/2025) | Gatton | In Person | Course Profile |
Semester 1, 2025 (24/02/2025 - 21/06/2025) | St Lucia | In Person | Course Profile |
Semester 2, 2025 (28/07/2025 - 22/11/2025) | St Lucia | In Person | Profile unavailable |
Please Note: Course profiles marked as not available may still be in development.
Course description
Analysis of scientific data and experiments: Design of experiments and ethical research. Data modelling and management. Exploratory data analysis. Randomness and probability. Statistical analysis including linear regression, analysis of variance, logistic regression, categorical data analysis, and non-parametric methods.