Course Coordinator:Peter Davies (pdavies1@usc.edu.au) School:School of Science, Technology and Engineering
UniSC Sunshine CoastUniSC Moreton Bay |
Blended learning | Most of your course is on campus but you may be able to do some components of this course online. |
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 builds on the foundation of SCI110 and will introduce you to more sophisticated statistical analyses. Theoretical knowledge introduced in the learning materials will be enhanced by detailed illustration in tutorials and hands-on application in computer workshops. In each case, the theory will be applied to real-world problems. On completion of this course, you will be confident in critically assessing the range of statistical tests that might be employed in a given situation, in identifying which test best suits the scenario, and in conducting this test using cutting-edge computer software.
| Activity | Hours | Beginning Week | Frequency |
| Blended learning | |||
| Learning materials – Asynchronous online learning materials. | 2hrs | Week 1 | 12 times |
| Tutorial/Workshop 1 – On-campus tutorial. | 1hr | Week 1 | 12 times |
| Laboratory 1 – On-campus laboratory. | 1hr | Week 1 | 12 times |
| Seminar – On Campus seminar | 1hr | Week 1 | 3 times |
Experimental design; testing hypotheses; qualitative vs quantitative analyses; designing and administering questionnaires; correlation, multiple and logistic regression; analysis of variance; non-parametric statistical tests; using SPSS
200 Level (Developing)
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 | Formulate research questions and select appropriate research designs |
Empowered Ethical |
| 2 | Select appropriate sampling strategies and calculate required sample sizes |
Knowledgeable Empowered |
| 3 | Perform exploratory data analysis | Knowledgeable |
| 4 | Use a computer program to produce publication-quality graphs and descriptive statistics |
Knowledgeable Empowered |
| 5 | Evaluate the suitability of different statistical models using a range of diagnostic tools |
Creative and critical thinker Empowered |
| 6 | Conduct statistical tests and write concise summaries of their results, as would be required for publication in scientific journals |
Knowledgeable Empowered |
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
SCI110 or BUS101
Not applicable
ANM203
Basic statistical concepts including measurement scales, basic sampling strategies, presentation of data, the Normal distribution and basic parametric tests including Z scores and t tests.
Not applicable
Standard Grading (GRD)
| High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
In weeks three and four workshops will be held during the tutorials to assist you in writing the assignment proposal
| 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 | Quiz/zes | Individual | 40% | 5 x quizzes, 20 questions, 30 minutes each |
Throughout teaching period (refer to Format) | Online Test (Quiz) |
| All | 2 | Artefact - Technical and Scientific | Group | 20% | 500 words |
Week 7 | Online Submission |
| All | 3 | Report | Group | 40% | 2500 words |
Week 12 | Online Submission |
| All - Assessment Task 1:Trimester Quizzes | |||||||||||||||||||
| Goal: | To assess knowledge gleaned from the entire 12 Weeks of the course; the language of statistics, research design, designing and administering questionnaires, correlation, multiple and logistic regression, Analysis of Variance, Non-parametric statistical tests and using SPSS. |
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| Product: | Quiz/zes | ||||||||||||||||||
| Authorship Statement: | |||||||||||||||||||
| Format: | Online in weeks 2, 5, 8, 10 and 12 |
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| Criteria: |
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| Generic Skills: | Problem solving, Applying technologies, Information literacy |
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| All - Assessment Task 2:Assignment proposal | ||||||||||||||||
| Goal: | You will design a proposal for a qualitative survey to investigate a campus issue.You will demonstrate this by selecting an appropriate research design, and designing and evaluating questions with preliminary data analysis techniques. |
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| Product: | Artefact - Technical and Scientific | |||||||||||||||
| Authorship Statement: | ||||||||||||||||
| Format: | Individual or group submission; online submission via Canvas |
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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 3:Scientific report | ||||||||||||||||||||||
| Goal: | You will use the results from your qualitative survey already completed and write a full scientific IMRaD format report |
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| Product: | Report | |||||||||||||||||||||
| Authorship Statement: | ||||||||||||||||||||||
| Format: | Individual or group submission; online submission via Canvas |
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| Criteria: |
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| Generic Skills: | Communication, Collaboration, Problem solving, Organisation, 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.
You need regular access to the resource(s) below. Many texts are available as ebooks through the Library at no additional cost.
| Required? | Author | Year | Title | Edition | Publisher |
| Recommended | Wayne W. Daniel | 1999 | Biostatistics | n/a | John Wiley & Sons Incorporated |
| Recommended | George Diekhoff | 1992 | Statistics for the Social and Behavioral Sciences | n/a | WCB/McGraw-Hill |
| Recommended | Jim Fowler,Lou Cohen,Phil Jarvis | 1998 | Practical Statistics for Field Biology | n/a | John Wiley & Sons |
| Recommended | Natalie L. Sproull | 1995 | Handbook of Research Methods | n/a | Metuchen, N.J. : Scarecrow Press |
| Recommended | Woodward M | 1999 | Epidemiology: Study Design and Data Analysis | n/a | Chapman & Hall/CRC |
| Recommended | Jerrold H. Zar | 1999 | Biostatistical Analysis | n/a | n/a |
| Recommended | D. A. De Vaus | 2002 | Surveys in Social Research | n/a | n/a |
You need access to a calculator with statistical functionality. Examples include, but are not limited to: CasioFX100AU Scientific Calculator; Casio FX82 AU PLUS-BP Scientific Calculator; Sharp EL531WHBLK Scientific Calculator. You need access to IBM SPSS Statistics (commonly called simply SPSS). SPSS is available in most USC computer laboratories. You do not need to purchase SPSS. However, you may find completing the assessment tasks easier if you have access to SPSS on your own personal computer. Unfortunately, student editions of SPSS are no longer available, and the USC licensing arrangements do not allow SPSS to be loaded onto student computers. You may wish to explore purchasing an SPSS license from (for example) www.onthehub.com. (At the time of writing, a six-month licence for IBM SPSS Statistics Base Grad Pack version 21 is about $60.)
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.
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