MA2405 - Statistics and Data Analysis 2
|Student Contribution Band:
||School of Engineering (pre 2015)
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.
- design and analysis of results from experiments and surveys;
- develop skills in practical statistical modelling.
||MA1401 OR BZ2001
Study Period 1
|Census Date 27-Mar-2014
||Professor Yvette Everingham.
- 26 hours lectures
- 13 hours practicals
||end of semester exam (55%); other exams (15%); assignments (30%).
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