Course Title: Statistics
Part A: Course Overview
Course Title: Statistics
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
MATH1277 |
Bundoora Campus |
Undergraduate |
145H Mathematical & Geospatial Sciences |
Face-to-Face |
Sem 2 2006, Sem 2 2007, Sem 2 2008, Sem 2 2009, Sem 2 2010, Sem 2 2011, Sem 2 2012, Sem 2 2013, Sem 2 2014, Sem 2 2015, Sem 2 2016 |
MATH1277 |
Bundoora Campus |
Undergraduate |
171H School of Science |
Face-to-Face |
Sem 2 2019, Sem 2 2020, Sem 2 2021 |
MATH1278 |
City Campus |
Undergraduate |
145H Mathematical & Geospatial Sciences |
Face-to-Face |
Sem 2 2006, Sem 2 2007, Sem 2 2008, Sem 2 2009, Sem 2 2010, Sem 2 2011, Sem 2 2012, Sem 2 2013, Sem 2 2014, Sem 2 2015, Sem 2 2016 |
MATH1278 |
City Campus |
Undergraduate |
171H School of Science |
Face-to-Face |
Sem 2 2017, Sem 2 2019, Sem 2 2020, Sem 2 2021, Sem 2 2022 |
Course Coordinator: Dr Stella Stylianou
Course Coordinator Phone: +61 3 9925 6227
Course Coordinator Email: stella.stylianou@rmit.edu.au
Course Coordinator Location: 203.03.011
Course Coordinator Availability: by appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
Required Prior Study
You should have satisfactorily completed following course/s before you commence this course.
- MATH1275/MATH1276 Statistical Computing (Course ID 011946)
Alternatively, you may be able to demonstrate the required skills and knowledge before you start this course.
Contact your course coordinator if you think you may be eligible for recognition of prior learning.
Course Description
This course introduces advanced statistical techniques for Psychology students. The course will begin with a review of fundamental statistics and continue with further statistical methods and inference. In the laboratory sessions extensive use will be made of appropriate statistical packages such as MINITAB or SPSS for data analysis.
Objectives/Learning Outcomes/Capability Development
This course contributes to the following Program Learning Outcomes for BP154 Bachelor of Applied Science (Psychology):
PLO1: Understand appropriate and relevant fundamental and applied evidence based knowledge and undertake life-long learning to improve personal and professional practice
PLO2: Demonstrate a capacity to employ a variety of approaches and procedures to research to permit judgements and decisions to be supported by appropriate evidence that places practice within a global and local context.
PLO3: Applies knowledge to diagnose and solve problems in a wide range of diverse situations, with an ability to work independently or with others and incorporate the analysis of evidence based scientific literature to solve psychological problems.
PLO4: Engage in dialogue with a diverse range of people and communicate in a broad range of forms (written, electronic, graphic, oral) to meet the circumstances of the situation and the capabilities of the audience.
PLO5: Maintain tolerance and respect for individuals and groups from diverse backgrounds, holding diverse values, adhering to professional expectations and demonstrating ethical behaviour
PLO6: Develop collaborative partnerships with colleagues, other professionals and the community that build on the capacity of others and develop open and flexible relationships that adapt to evolving needs and aspirations
On successful completion of this course, you will be able to:
- Apply the SPSS statistical software package to perform statistical tests.
- Interpret SPSS output on statistical tests.
- Write APA style reports on the outcomes of these statistical tests.
- Relate Type1, Type 2 errors, effect size and sample size to the power of statistical tests.
Overview of Learning Activities
You will be actively engaged in a range of learning activities such as lectorials, tutorials, practicals, laboratories, seminars, project work, class discussion, individual and group activities. Delivery may be face to face, online or a mix of both.
You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, and through links and material specific to this course that is available through myRMIT Studies Course
Overview of Learning Resources
RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course.
There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.
Overview of Assessment
Assessment Tasks
Assessment Task 1: Laboratory Assessments
Weighting: 30%
Supports CLOs 1, 2, 3 & 4
Assessment Task 2: Applied Lectorial Assessments
Weighting: 30%
Supports CLOs 2, 3 & 4
Assessment Task 3: Online Test
Weighting: 40%
Supports CLOs 2 & 4
If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.