Crop experimentation

Aims

To acquaint students with a variety of statistical methods and to introduce them to the design of experiments. By the end of this course students should be able to design their own experiments properly and analyse their data using statistical packages (SPSS or GenStat).  

Prerequisites

Basic Statistics
 
  

Learning Outcomes

The students will be able to understand the particular methods used in experimental design. They will be able to decide which method is more suitable for their research thesis, how are they going to plan their experiments and how to analyse the data and present meaningful results using a computer program.          

Syllabus

Practical experience in devising, executing, analyzing and interpreting experiments designed to answer specific crop production problems. The design of experiments, techniques of the analysis of randomized complete block designs, latin squares, factorial experiments and split-plot designs. Simple and multiple regressions, their use in modeling agricultural responses. Practical work using computer packages for statistical analysis of data.  

Content Delivery

[The sequence, methods of teaching and logic behind the delivery of your unit]  

Coursework And Assignment Details

At the end of the course there is a written exam with open books (100% of the total grade). The students use computers to analyze their data.   Exam questions include theoretical questions to evaluate the critical thought of the students and their understanding of the basic topics of the course (15-20% of the total questions) and exercizes using different data sets (80-85% of the total questions).