SCU2 - Experimental Design and Analysis Course Content

SCU2 - Experimental Design and Analysis Course Content

 

Terminology and the principles of experimental design

  • Basic terminology 1.1
  • Practical issues in design 1.2
  • Principles of experimental design 1.3

 

Four commonly used designs included in this course:

  •  Completely randomised design with only one treatment factor: treatment factor is randomly allocated to all experimental units.
    • How to design the experiment 2.1, 2.2.1
    • How to analyse the data
      • Models 2.2.2
      • Analysis of the variance: comparing the means 2.3
  • Completely randomised design with more than one treatment factor (factorial design)
    • How to design the experiment 3.1
    • How to analyse the data
      • Models 3.2
      • Analysis of the variance:
        • Comparing the means 3.3
        • Testing the interaction between treatments 3.4
  • Randomised complete block design: the experimental units can be grouped into blocks of similar units.
    • Introduction to "blocks" 4.1
    • Randomised complete block design with one treatment factor
      • How to design the experiment (one treatment) 4.3
      • How to analyse the data
        • Models 4.4.1-4.4.2
        • Analysis of the variance: comparing the means 4.4.4, 4.5
    • Randomised complete block design with more than one treatment factor
      • How to design the experiment (more than one treatment) 4.6.1
      • How to analyse the data 4.6.2
  • Split-plot design: one treatment factor is applied to large plots and another treatment factor is applied to subplots within the large plots.

    • Split-plot design with two levels
      • How to design the experiment 7.2.1,7.2.7
      • How to analyse the data 7.2.2-7.2.4
    • Split-plot design with more than two levels 7.2.5-7.2.6

 

 

For course descriptions and registration,