Data and Analysis

• • Unit Introduction Data Types and Statistical Analysis
  • Data Handling, Analysis & Presentation of Data
  • Correlation & Linear Regression
  • Hypothesis Testing
  • Independent Sample & Paired Sample T-test
  • Presenting Data: Written Reports
  • One-way ANOVA
  • Further Statistical Techniques
  • Nil

No eligibility requirements

Special requirements

No special requirements

In this subject, you will be introduced to mathematical and statistical methods that support informed decision-making and solutions design based on analysis of scientific, business or technical data. You will explore why data is needed to make decisions, how data are collected, analysed, interpreted and presented, and apply a suite of common statistical and mathematical methods to generate evidence for decision-making. You will also be introduced to data management software and learn how to represent and communicate mathematical and statistical information effectively. Through case studies relevant to your area of specialisation, you will learn how to apply mathematical and statistical approaches to solve practical problems and present solutions using data and statistical analyses as evidence. This subject also incorporates learning through practice by exposing you to authentic learning experiences. These experiences are placed at the centre of learning and assessment, for you to develop the skills, knowledge and behaviours necessary to respond to industry, community and/or global needs. You will be introduced to: - a range of methods, tools, techniques and approaches to practice - principles and perspectives such as values, ethics, empathy and leadership in real world scenarios - reflection and deliberative thinking as a means of developing knowledge, skills, attitudes and aspirations - ways of understanding problems and developing solutions through active inquiry

• Industry Report (45%%)
• Case Study Presentation (35%%)
• Discussion Posts (20%%)