This course reviews basic statistics concepts and principles of statistical design in order to instill the foundational knowledge essential for understanding how to use statistics to test hypotheses in agricultural research and the importance and features of good experimental design. It is intended for anyone involved in planning, or executing biological or agricultural experiments or breeding trials. Through a series of recorded lectures and quizzes, participants will be able to learn at their own pace and on their own time.
Objectives
At the end of the training, the participants will:
- Understand basic statistics concepts, descriptive and inferential statistics
- Differentiate between types of data and know appropriate measures for each type
- Learn about processes in inferential statistics: sampling, estimation, hypothesis testing
- Become familiar with terms commonly used in experimental designs
- Understand the three essential components of an experimental design and the importance of each component
Key Modules
- Descriptive vs Inferential Statistics
- Classification of Data
- Numerical Descriptive Measures
- Sampling
- Hypothesis testing
- Terms commonly used in experimental designs
- Principles of experimental designs