Agricultural Experimental Design and Analysis

Undergraduate | 2026

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Mode icon
Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
area/catalogue icon
Area/Catalogue
AGRI 3007
Course ID icon
Course ID
202920
Campus icon
Campus
Waite Campus
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course owner
Course owner
Agriculture, Food and Wine
Course level icon
Course level
3
Work Integrated Learning course
Work Integrated Learning course
No
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

This course will provide students with a hands-on opportunity to develop practical skills in planning and undertaking statistically robust scientific research. This course will build on foundational knowledge gained in level 1 statistics (STATS 1000 or STATS 1004) and practical experience gained in PLANT SC 2510WT Foundations in Plant Science. Through a number of practical activities, students will collect a variety of data (soil, plant, environmental) from experimental plots located at the Waite campus. Students will be provided with the theory behind rigorous experimental design and analysis and supported to implement this theory in practice. Experiments will be established to allow a range of different statistical analyses including parametric, non-parametric and multivariate analysis. Statistical analysis will be performed on data collected, and students will learn how to interpret and communicate the results to a variety of audiences.

Course learning outcomes

  • Design small scale investigative studies
  • Apply measurement and data collection protocols in sampling, surveys and experiments
  • Use software to undertake advanced statisticl analysis
  • Interpret, describe and explain multivariate interactions using statistics
  • Effectively communicate research findings using appropriate language and terminology for a variety of audiences

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A

Degree list
The following degrees include this course