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

MATH1275/MATH1276 or an equivalent basic introductory Statistics course


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


Course Learning Outcomes (CLOs):

On successful completion of this course, you will be able to:

1. Apply  the SPSS statistical software package to perform statistical tests.
2. Interpret SPSS output on statistical tests.
3. Write APA style reports on the outcomes of these statistical tests.
4. Relate Type1, Type 2 errors, effect size and  sample size to the power of statistical tests.


Overview of Learning Activities

The learning activities included in this course are the following:

  • watch the pre-recorded online short videos and study all the weekly online lecture material.
  • attend face to face weekly lectorial sessions  where content will be explained with demonstrations via statistical packages, simulations and worked examples;
  • attend face to face data analysis computer laboratory sessions which are designed to give further practice in the application of theory and procedures and to provide feedback on your progress and understanding.


Overview of Learning Resources

You will be able to access course information and learning materials through Canvas. You will also use computer software within the School’s computer laboratories

A library guide is available at http://rmit.libguides.com/mathstats


Overview of Assessment

This course has no hurdle requirements.

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