Unit description

Provides students with a fundamental understanding of experimental logic and statistical methods commonly-used in marine and forest science.  Students will gain experience with fundamental statistical analyses in SPSS and PRIMER/PERMANOVA.

Unit content

  • Parameters for defining populations
  • A logical framework for scientific research
  • Student's t-test, chi-squared tests and analysis of variance
  • Type I/Type II errors and power analysis
  • Multi-factor analysis of variance in SPSS
  • Multivariate and univariate analysis in PRIMER/PERMANOVA
  • A primer to quantitative fisheries modelling

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

Learning outcomes and graduate attributes

Teaching and assessment


Intensive offerings may or may not be scheduled in every session. Please refer to the timetable for further details.

Southern Cross University employs different teaching methods within units to provide students with the flexibility to choose the mode of learning that best suits them. SCU academics strive to use the latest approaches and, as a result, the learning modes and materials may change. The most current information regarding a unit will be provided to enrolled students at the beginning of the study session.

Fee information


Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Commencing 2016 Commonwealth Supported only. Student contribution band: 2

Fee paying courses
For POSTGRADUATE or UNDERGRADUATE full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees


Please check the international course and fee list to determine the relevant fees.