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. |
Please go to usc.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 | 13 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 | 13 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
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 5 | 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% | 2 hours |
Week 13 | Online Test (Quiz) |
All - Assessment Task 1:Statistics assignment | |
Goal: | To assess knowledge gained in the first 5 weeks of the course: the language of statistics, basic research design, sampling strategies and the presentation of descriptive statistics. |
Product: | Written Piece |
Format: | Online submission |
Criteria: |
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All - Assessment Task 2:Mid semester 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 |
Product: | Examination - not Centrally Scheduled |
Format: | Online examination |
Criteria: |
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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. |
Product: | Examination - not Centrally Scheduled |
Format: | Online examination |
Criteria: |
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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 in TPP105 Course Reader available on Canvas. This will be used in open book examinations.
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: The final mark is in the percentage range 47% to 49.4% The course is graded using the Standard Grading scale You have not failed an assessment task in the course due to academic misconduct
Late submission of assessment tasks may be penalised at the following maximum rate: - 5% (of the assessment task's identified value) per day for the first two days from the date identified as the due date for the assessment task. - 10% (of the assessment task's identified value) for the third day - 20% (of the assessment task's identified value) for the fourth day and subsequent days up to and including seven days from the date identified as the due date for the assessment task. - A result of zero is awarded for an assessment task submitted after seven days from the date identified as the due date for the assessment task. Weekdays and weekends are included in the calculation of days late. To request an extension you must contact your course coordinator to negotiate an outcome.
UniSC is committed to a culture of respect and providing a safe and supportive environment for all members of our community. For immediate assistance on campus contact SafeUniSC by phone: 07 5430 1168 or using the SafeZone app. For general enquires contact the SafeUniSC team by phone 07 5456 3864 or email safe@usc.edu.au.
The SafeUniSC Specialist Service is a Student Wellbeing service that provides free and confidential support to students who may have experienced or observed behaviour that could cause fear, offence or trauma. To contact the service call 07 5430 1226 or email studentwellbeing@usc.edu.au.
For help with course-specific advice, for example what information to include in your assessment, you should first contact your tutor, then your course coordinator, if needed.
If you require additional assistance, the Learning Advisers are trained professionals who are ready to help you develop a wide range of academic skills. Visit the Learning Advisers web page for more information, or contact Student Central for further assistance: +61 7 5430 2890 or studentcentral@usc.edu.au.
Student Wellbeing provide free and confidential counselling on a wide range of personal, academic, social and psychological matters, to foster positive mental health and wellbeing for your academic success.
To book a confidential appointment go to Student Hub, email studentwellbeing@usc.edu.au or call 07 5430 1226.
Ability Advisers ensure equal access to all aspects of university life. If your studies are affected by a disability, learning disorder mental health issue, injury or illness, or you are a primary carer for someone with a disability or who is considered frail and aged, AccessAbility Services can provide access to appropriate reasonable adjustments and practical advice about the support and facilities available to you throughout the University.
To book a confidential appointment go to Student Hub, email AccessAbility@usc.edu.au or call 07 5430 2890.
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