In order to evaluate and understand observed data, proper statistical analyses are indispensable. Through this lecture, students will learn a wide range of statistical methods such as elementary statistics, several types of statistical tests, experimental designs, multivariate analysis and modern computational statistics, assuming their practical uses in agricultural studies. Considering beginners of statistics, the use of mathematical equations will be maximally avoided while teaching students the concepts of analyses. The students will also practice the methods that they have just learned by using a powerful but free statistical software package R (The R Project for Statistical Computing: http://www.r-project.org/) .
Statistics, R, Agricultural data, Field experiments