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MA2405 - Statistics and Data Analysis 2

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

A course of lectures and practicals on statistical methods in the applied sciences. Topics include an introduction to scientific inference, exploratory data analysis on PCs, analysis of variance, regression, repeated measures analyses, nonparametric techniques and analysis of messy data.

Learning Outcomes

  • design and analysis of results from experiments and surveys;
  • develop skills in practical statistical modelling.
Prerequisites: MA1401
Inadmissible
Subject
Combinations:
BS3001

Availabilities

Townsville, Study Period 1, Internal
Census Date 22-Mar-2012
Coord/Lect: Professor Yvette Everingham.
Workload expectations:
  • 26 hours lectures
  • 13 hours practicals
Assessment: end of semester exam (55%); other exams (15%); 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.