Course Description
This course is designed to acquaint researchers with the principles of experimental design, basic experimental designs used in crop research, analysis of variance, correlation analysis, and regression analysis. It also introduces Statistical Tool for Agricultural Research (STAR), a user-friendly software that uses GUI created in Java and functions developed in R to assist crop scientists in the design and analysis of data. It is intended for researchers in the Agricultural and Biological Sciences. It employs a combination of lectures, group exercises, and hands- on exercises using STAR.
Course Objectives
By the end of the training course, the participants should be able to:
- Review Basic Statistical Concepts and Analysis
- Describe the three essential components of an experimental design
- Introduce the most basic experimental designs
- Demonstrate the analysis processes in STAR using descriptive statistics, analysis of variance, simple correlation analysis, and linear regression analysis
Participant Requirements
Participants must bring their own laptops with the Windows Operating System.
Key Modules:
- Introduction to Statistics
- Principles of Experimental Designs
- One-Factor Experimental Designs
- Analysis of Variance and Mean Comparison
- Simple Correlation Analysis
- Simple Linear Regression Analysis
Learning Modality
The course will be delivered purely online through lectures, hand-on activities, group/individual presentation, quizzes, and pre-post course assessment.