An understanding of experimental design, statistical methods, ethics and the ability to critically analyse scientific reports is essential for graduates in the sciences. In this unit, you will study experimental design, ethics and commonly used statistical procedures. You will be introduced to hypothesis testing and experimental design, parametric and non-parametric analyses, one, two and multi sample analyses (including one way, two way, and nested ANOVA designs, as well as multivariate analyses), correlation and regression, and data transformation. The learning and teaching strategy uses a clear, conceptual approach, which assumes that you have little or no statistical background.

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Feedback from SUTE feedback Moodle feedback

Students again appreciated the concise 'bite-sized' delivery of the unit content, noting that this made it easier to understand the theory with examples.

Maintain current lecture delivery structure.

Feedback from Email

One student asked that more notification be given regarding the expectations of the assessment, suggesting that email isn't the best way to transfer this information.

Students were provided clear expectations of assessment through Moodle assessment tabs, lecture content, live weekly Zoom sessions, direct email, and reminder announcements online. This broad approach will be maintained to help students access unit requirements in a number of ways.

Feedback from Moodle/online feedback

Students expressed their gratitude for the unit having additional live Zoom sessions for them to ask questions and resolve issues.

Maintain the offering of the additional live Zoom sessions throughout term.