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MA2401 - Statistics and Data Analysis

Credit points: 3
Year: 2012
Student Contribution Band: Band 4
Administered by: School of Engineering

This subject introduces students to concepts involved in descriptive and inferential statistics. Topics include methods of producing, exploring, displaying and describing data, both of single and multiple variables, elementary probability, the normal distribution, hypothesis testing, correlation, regression and analysis of variance techniques. Emphasis will be placed on how statistics is used in practice and on the presentation and interpretation of statistical analyses. A computing package and calculator will be used to facilitate numerical calculations.

Learning Outcomes

  • be able to competently interpret the output produced from a statistical computing package;
  • choose and apply appropriate and graphical and numerical tools for organising, describing and exploring data;
  • make appropriate use of a statistical computer package;
  • select and apply appropriate statistical tools to perform a range of inferential analyses;
  • to recognise the relevance and importance of statistical methods in the students respective discipline;
  • understand the basic principles of sample selection and experimental design.

Graduate Qualities

  • The ability to think critically, to analyse and evaluate claims, evidence and arguments, and to reason and deploy evidence clearly and logically;
  • The ability to select and organise information and to communicate it accurately, cogently, coherently, creatively and ethically.
Prerequisites: Senior Maths B or MA1020 or admission to 50910
Inadmissible
Subject
Combinations:
MA1401

Availabilities

Cairns, Study Period 2, Internal
Census Date 23-Aug-2012
Coordinator: Dr Darcy Mullamphy
Lecturer: Mrs Carolyn Diedricks.
Workload expectations:
  • 26 hours lectures
  • 13 hours practicals
Assessment: end of semester exam (50%); quizzes or tests (20%); assignments (30%).

Townsville, Study Period 2, Internal
Census Date 23-Aug-2012
Coord/Lect: Dr Darcy Mullamphy.
Workload expectations:
  • 26 hours lectures
  • 13 hours practicals
Assessment: end of semester exam (50%); quizzes or tests (20%); assignments (30%).

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.