Scientific research and Statistics. Variability - Variable. Population and sample. Frequency distributions. Measures of central tendency and dispersion. Introduction to Probability Theory -Probability distributions. Confidence intervals. Statistical hypothesis testing. Analysis of Variance (ANOVA). Covariation and correlation. Examples and Applications in Agricultural science. Introduction to agricultural experimentation. Aims of experiments in agriculture. Field experiments, greenhouse experiments, lab experiments. Methodology for setting up agricultural experiments. Randomization, replication, blocking. Introduction to Analysis of Variance (ANOVA). Statistical hypothesis testing procedures. Experimental error. Completely Randomized Design. Comparisons of means. Randomized Complete Block Design. Latin Square Design. Factorial experiments. Main effects and interactions between factors. Introduction to Linear Regression. Data transformations. Examples and applications. Demonstration of statistical softwares. Practice for designing field experiments.