Course Title: Statistics and Probability

Part A: Course Overview

Course Title: Statistics and Probability

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


TRN RMIT Training


Term2 2022,
Term1 2023


RMIT University Vietnam


TRN RMIT Training


Viet2 2022,
Viet1 2023


RMIT Vietnam Hanoi Campus


TRN RMIT Training


Viet1 2023

Course Coordinator: Jo Bradley

Course Coordinator Phone: +61 3 9925 6070

Course Coordinator Email:

Course Coordinator Location: Level 5, B108

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

In this course you will be introduced to the mathematical and statistical knowledge and skills required for further study at tertiary level. You will develop an understanding of descriptive concepts for the presentation and analysis of data. These include measures of central tendency and dispersion. You will build your knowledge of the inferential concepts for the testing of hypotheses on data sets. You will also explore basic probability theory which underpins the study of statistics.

Objectives/Learning Outcomes/Capability Development

See Learning Outcomes.

Program Learning Outcomes:

In this course you will develop the following program outcomes:

  1. Apply the rules of, and expectations for, academic study and assume responsibility for your own actions to work effectively as an individual and/or as a member of a group;  
  2. Develop and express ideas through independent reading, the creation of images, and the collection and interpretation of data and information;   
  3. Communicate ideas with clarity, logic, and originality in both spoken and written English;  
  4. Construct coherent arguments, narratives or justifications of issues, problems or technical processes when undertaking analytical, practical or creative tasks; and 
  5. Use a range of contemporary digital and learning technologies, tools and methods common to the discipline. 

Course Learning Outcomes:

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

  1. Employ a range of descriptive statistical techniques to analyse grouped and ungrouped data.
  2. Use probability theory and techniques to analyse and solve problem.
  3. Employ hypothesis testing techniques to test sample means.
  4. Analyse data using correlation techniques.

Overview of Learning Activities

This course includes a blend of didactic, active, and collaborative learning activities designed to meet the needs of international students. The course encourages the process of inquiry, application and reflection through student centred learning and teaching activities including practical work in studio environments and laboratories . In doing so, there will be a focus on the development of critical and analytical thinking skills that promote problem solving, independent research skills and group work. Students will develop their technology skills through engagement in formative and summative assessments. The course will maximise the use of the learning management system by incorporating flipped and blended methodologies. This may be complemented by guest lectures, excursions and speakers with discipline specific work life expertise to further connect content to the professional world and generate opportunities for reflective practice.

Overview of Learning Resources

Various learning resources are available through RMIT’s learning management system,  Canvas. In addition to assessment details and a study schedule, you will also be provided with links to relevant course information, class activities and communication tools. 

Other learning resources are also available online through RMIT Library. Visit the RMIT Library website for further details. Academic and learning support is provided through Study Success at RMIT Training. The Foundation Studies home group program will also provide support, navigating university systems, advice on living and studying in Melbourne as well as explaining RMIT university policy and procedures.

Additional resources and/or sources to assist your learning will be identified by your course coordinator and will be made available to you as required during the teaching period.

Overview of Assessment





 Application Task