Introduction to Statistical Modelling
UndergraduateUNE-STAT1002024
Course information for 2024 intake View information for 2025 course intake
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- Study method
- 100% online
- Assessments
- Subject may require attendance
- Entry requirements
- Part of a degree
- Duration
- 16 weeks
- Loan available
- FEE-HELP available
Introduction to Statistical Modelling
About this subject
Upon completion of this subject, students will be able to:
- summarise, display and interpret data sets;
- use computer software to generate statistics and graphical representations of data;
- fit and interpret simple statistical models;
- produce a report that is understandable by someone with little statistical knowledge, which describes statistical analysis, results and conclusions; and
- read, understand and critique articles that contain statistical information.
- Topics will be available to enrolled students in the subjects moodle site approximately one week prior to the commencement of the teaching period.
Innovation in diverse scientific contexts, from livestock experiments to analysis of Martian soils, relies on statistics. Statistical methods are used universally to better understand the importance of observations and experiments, and to help us to investigate and explain the ways complex systems work. This subject offers you an opportunity to develop an introductory understanding of the fundamentals of statistics – invaluable whether you are interested in the life, environmental or physical sciences. Developing your statistical literacy through a combination of theory and hands-on exercises using statistical computing, you will learn how to present and interpret data for a common set of statistical methods.
Topics include exploratory data analysis, randomness associated with experimental data, statistical modelling, sampling, probability, regression, analysis of variance, and tests of significance.
Assessment 1: Online assignment (requires calculations). Must complete at least three of the four online assignments and both written assignments. The best three online assignments and both written assignments count towards the final grade. Must obtain at least 40% overall for the assessments. Relates to Learning Outcomes: 1, 2, 3, 5;
Assessment 2: Written assignment (requires calculations and a report). 150 words. Must complete at least three of the four online assignments and both written assignments. The best three online assignments and both written assignments count towards the final grade. Must obtain at least 40% overall for the assessments. Relates to Learning Outcomes: 1, 2, 3, 4, 5;
Assessment 3: Written assignment (requires calculations and a report). 150 words. Must complete at least three of the four online assignments and both written assignments. The best three online assignments and both written assignments count towards the final grade. Must obtain at least 40% overall for the assessments. Relates to Learning Outcomes: 1, 2, 3, 4, 5;
Final Examination: 2 hrs 15 mins duration. Must obtain at least 40% in the Final Examination and obtain an overall passing grade. Relates to Learning Outcomes: 1, 3, 4.
UNE manages supervised exams associated with your UNE subjects.
Prior to census date, UNE releases exam timetables. They’ll email important exam information directly to your UNE email address.- Assessment 1 (20%)
- Assessment 2 (15%)
- Assessment 3 (15%)
- Final Invigilated Examination (50%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Part of a degree
To enrol in this subject you must be accepted into one of the following degrees:
Elective
- UNE-DSC-DIP-2024 - Diploma in Science
- UNE-INF-DIP-2024 - Diploma in Information Technology
Prior study
You must have successfully completed the following subject(s) before starting this subject:
and one of
Additional requirements
- Equipment requirements - Headphones or speakers (required to listen to lectures and other media). Headset, including microphone (highly recommended). Webcam (may be required for participation in virtual classrooms and/or media presentations).
- Software requirements - It is essential for students to have reliable internet access in order to participate in and complete your units, regardless of whether they contain an on campus attendance or intensive school component. Please refer students to link for requirements: http://www.une.edu.au/current-students/support/it-services/hardware
- Other requirements -
Textbook information is not available until approximately 8 weeks prior to the commencement of the Teaching period.
Students are expected to purchase prescribed material.
Textbook requirements may vary from one teaching period to the next.
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
Related degrees
Once you’ve completed this subject it can be credited towards one of the following courses
UndergraduateUNE-DSC-DIP
Diploma in Information Technology
UndergraduateUNE-INF-DIP