The statistical analysis explored here are commonly used to study agricultural systems and understand the impact of treatments.
There is a mini-statistics course here where you can apply your investigation of statistical designs to some examples. To solve these examples refer to the experimental design resources and introduction videos linked below:
The course uses SAS software, that you can access for free using the link below. To obtain the free software license you will need to register with the SAS and then login to access the free software for academics.
There is a mini-statistics course here where you can apply your investigation of statistical designs to some examples. To solve these examples refer to the experimental design resources and introduction videos linked below:
The course uses SAS software, that you can access for free using the link below. To obtain the free software license you will need to register with the SAS and then login to access the free software for academics.
To access the free education software you will then need to login using the portal link below
Experimental Design Resources
sas_commands.pdf |
experimental_designs.pdf |
guide_to_statistical_analysis.pdf |
Statistical Analysis 101
These videos provide a good reference for navigating the application of statistical analysis to different experimental designs.
Mini-course to Understand Statistical Analysis
This course has a series of projects to test your understanding of statistic analysis.
- Refer to the resources above to solve each project.
- Model answers are also provided.
statistical_projects.pdf |
Model Answers
Project 1 - mean, median, mode
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Project 2 - Probability
project_2.pdf |
Project 3 - Confidence Intervals
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Project 4 - T Test
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Project 5 - Simple Linear Regression
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Project 6 - Multiple Linear Regression
project_6.pdf |
Project 7 - ANOVA Randomised Design
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Project 8 - 2 Way ANOVA Factorial Design
project_8.pdf |
Project 9 - Latin Square
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Project 10 - Repeat Measure Analysis
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Project 11 - Split Plot
project_11.pdf |
Project 12 - Covariance Analysis
project_12.pdf |
Other Experimental Designs
In addition to the experimental designs explored in the projects above - there are some other common experimental designs explored below:
2 x Multiple Regressions
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Covariance Analysis
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Covariate Analysis Log Transformation
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Factorial Design - Fixed Effects
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Mixed Nested Design
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Paired T test
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Repeat Measure Analysis
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