Course Coordinator:Erin Siostrom (esiostrom@usc.edu.au) School:School of Education and Tertiary Access
UniSC Sunshine CoastUniSC Moreton BayUniSC Fraser Coast |
Blended learning | Most of your course is on campus but you may be able to do some components of this course online. |
Online |
Online | You can do this course without coming onto campus, unless your program has specified a mandatory onsite requirement. |
Please go to unisc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.
This course is designed to introduce basic statistical skills for entry to academic programs at university. By undertaking this course, you will gain an understanding of the research process and the critical thinking skills required in research and its reporting. The ability to apply statistical concepts is an essential skill for all undergraduates. This course consists of weekly learning materials where you will be presented with theoretical knowledge, and followed by a tutorial, where the theoretical concepts are illustrated, reaffirmed and complemented with practical exercises.
| Activity | Hours | Beginning Week | Frequency |
| Blended learning | |||
| Learning materials – A range of weekly materials delivered through Canvas including course recordings, reading materials and activities | 1hr | Week 1 | 12 times |
| Tutorial/Workshop 1 – On campus engagement and application of learning materials | 2hrs | Week 1 | 12 times |
| Online | |||
| Learning materials – A range of weekly materials delivered through Canvas including course recordings, reading materials and activities | 1hr | Week 1 | 12 times |
| Tutorial/Workshop 1 – synchronous online engagement and application of learning materials | 2hrs | Week 1 | 12 times |
100 Level (Introductory)
12 units
| Course Learning Outcomes On successful completion of this course, you should be able to... | Graduate Qualities Completing these tasks successfully will contribute to you becoming... | |
| 1 | Demonstrate basic knowledge and skills of the field of statistics as developed with support and practice in this course. | Empowered |
| 2 | Use technologies including scientific calculators and statistical software to interpret and present data sets in valid tabular and graphical forms, and identify measures of central tendency and variability | Knowledgeable |
| 3 | Select and apply appropriate inferential analyses to research scenarios to test hypotheses, analyse data and draw appropriate conclusions | Knowledgeable |
| 4 | Communicate effectively using statistical terms, conventions and symbols to demonstrate knowledge and understanding | Creative and critical thinker |
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
Must be enrolled in Program TP000
Not applicable
Not applicable
Not applicable
Not applicable
Standard Grading (GRD)
| High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
Tutorial activities allow students to access formative feedback on progress. Drafts may be discussed with tutors if time permits in tutorials, or during consultation times. Time is allocated in tutorials for visits to computer labs in Week 3 and 4 (online equivalent for online students) for students to gain experience in statistical packages required for questions within this assessment item.
| Delivery mode | Task No. | Assessment Product | Individual or Group | Weighting % | What is the duration / length? | When should I submit? | Where should I submit it? |
| All | 1 | Written Piece | Individual | 30% | approximately 500 words |
Week 4 | Online Assignment Submission with plagiarism check |
| All | 2 | Examination - not Centrally Scheduled | Individual | 30% | 1.5 hours |
Week 7 | Online Test (Quiz) |
| All | 3 | Examination - not Centrally Scheduled | Individual | 40% | 1hr 45mins |
Week 12 | Online Test (Quiz) |
| All - Assessment Task 1:Statistics assignment | |||||||||||||
| Goal: | To assess knowledge gained in the first 4 weeks of the course: the language of statistics, basic research design, sampling strategies and the presentation of descriptive statistics. |
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| Product: | Written Piece | ||||||||||||
| Authorship Statement: | |||||||||||||
| Format: | Online submission |
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| Criteria: |
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| Generic Skills: | Communication, Collaboration, Problem solving, Organisation, Applying technologies, Information literacy |
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| All - Assessment Task 2:Mid trimester exam | |||||||||||||
| Goal: | To assess knowledge gained in the first 6 weeks of the course: the language of statistics, basic research design, sampling strategies, measures of central tendency and variability, analysing data and using a scientific calculator and the presentation of descriptive statistics |
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| Product: | Examination - not Centrally Scheduled | ||||||||||||
| Authorship Statement: | |||||||||||||
| Format: | Supervised during class time, submit online |
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| Criteria: |
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| Generic Skills: | Communication, Problem solving, Applying technologies, Information literacy |
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| All - Assessment Task 3:Final exam | ||||||||||||||||
| Goal: | To assess knowledge gained during the 12 weeks of the course; the language of statistics, basic research design, sampling strategies, measures of central tendency and variability, analysing data and using a scientific calculator, the presentation of descriptive statistics, data distributions, z scores, and hypothesis testing, specifically using t tests. |
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| Product: | Examination - not Centrally Scheduled | |||||||||||||||
| Authorship Statement: | ||||||||||||||||
| Format: | Supervised during class time, submit online |
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| Criteria: |
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| Generic Skills: | Problem solving, Applying technologies, Information literacy |
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A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Student workload is calculated at 12.5 learning hours per one unit.
Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.
A scientific calculator is required for this course. A graphics or programmable calculator is not required but you may use one if you already own one. Course readings and tutorial materials are available on Canvas.
Academic integrity is the ethical standard of university participation. It ensures that students graduate as a result of proving they are competent in their discipline. This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.
Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person. You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.
In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin. This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.
Eligibility for Supplementary Assessment
Your eligibility for supplementary assessment in a course is dependent of the following conditions applying:
(a) The final mark is in the percentage range 47% to 49.4%; and
(b) The course is graded using the Standard Grading scale
Late submissions may be penalised up to and including the following maximum percentage of the assessment task’s identified value, with weekdays and weekends included in the calculation of days late:
(a) One day: deduct 5%;
(b) Two days: deduct 10%;
(c) Three days: deduct 20%;
(d) Four days: deduct 40%;
(e) Five days: deduct 60%;
(f) Six days: deduct 80%;
(g) Seven days: A result of zero is awarded for the assessment task.
The following penalties will apply for a late submission for an online examination:
Less than 15 minutes: No penalty
From 15 minutes to 30 minutes: 20% penalty
More than 30 minutes: 100% penalty
For more information on Academic Learning & Teaching categories including:
For more information, visit https://www.usc.edu.au/explore/policies-and-procedures#academic-learning-and-teaching
UniSC is committed to excellence in teaching, research and engagement in an environment that is inclusive, inspiring, safe and respectful. The Student Charter sets out what students can expect from the University, and what in turn is expected of students, to achieve these outcomes.
For course-specific questions, contact your teaching staff or Course Coordinator.
For other enquiries or to access support, please contact Student Central: